Public School NSW Data Profiling Report

Dataset statistics

Number of variables	44
Number of observations	2216
Missing cells	2653
Missing cells (%)	2.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	761.9 KiB
Average record size in memory	352.1 B

Variable types

Numeric	7
Text	13
Categorical	17
Boolean	4
Unsupported	1
DateTime	2

Alerts

`Date_extracted` has constant value ""	Constant
`School_code` is highly overall correlated with `Level_of_schooling`	High correlation
`AgeID` is highly overall correlated with `Postcode`	High correlation
`Postcode` is highly overall correlated with `AgeID` and 11 other fields	High correlation
`Latitude` is highly overall correlated with `Longitude` and 10 other fields	High correlation
`Longitude` is highly overall correlated with `Postcode` and 9 other fields	High correlation
`Level_of_schooling` is highly overall correlated with `School_code` and 1 other fields	High correlation
`School_subtype` is highly overall correlated with `Level_of_schooling`	High correlation
`Late_opening_school` is highly overall correlated with `Longitude` and 8 other fields	High correlation
`Fed_electorate` is highly overall correlated with `Postcode` and 13 other fields	High correlation
`Operational_directorate` is highly overall correlated with `Postcode` and 10 other fields	High correlation
`Operational_directorate_office` is highly overall correlated with `Postcode` and 12 other fields	High correlation
`Operational_directorate_office_phone` is highly overall correlated with `Postcode` and 12 other fields	High correlation
`Operational_directorate_office_address` is highly overall correlated with `Postcode` and 12 other fields	High correlation
`FACS_district` is highly overall correlated with `Postcode` and 10 other fields	High correlation
`Local_health_district` is highly overall correlated with `Postcode` and 12 other fields	High correlation
`AECG_region` is highly overall correlated with `Postcode` and 13 other fields	High correlation
`ASGS_remoteness` is highly overall correlated with `Late_opening_school` and 3 other fields	High correlation
`Assets unit` is highly overall correlated with `Postcode` and 10 other fields	High correlation
`SA4` is highly overall correlated with `Postcode` and 13 other fields	High correlation
`Level_of_schooling` is highly imbalanced (54.0%)	Imbalance
`Selective_school` is highly imbalanced (89.3%)	Imbalance
`Opportunity_class` is highly imbalanced (78.2%)	Imbalance
`School_specialty_type` is highly imbalanced (91.3%)	Imbalance
`School_subtype` is highly imbalanced (64.1%)	Imbalance
`Preschool_ind` is highly imbalanced (73.1%)	Imbalance
`Distance_education` is highly imbalanced (96.9%)	Imbalance
`Intensive_english_centre` is highly imbalanced (93.8%)	Imbalance
`School_gender` is highly imbalanced (89.3%)	Imbalance
`Late_opening_school` is highly imbalanced (70.0%)	Imbalance
`Fax` has 101 (4.6%) missing values	Missing
`latest_year_enrolment_FTE` has 50 (2.3%) missing values	Missing
`Indigenous_pct` has 50 (2.3%) missing values	Missing
`LBOTE_pct` has 62 (2.8%) missing values	Missing
`ICSEA_value` has 59 (2.7%) missing values	Missing
`Support_classes` has 2216 (100.0%) missing values	Missing
`AECG_region` has 24 (1.1%) missing values	Missing
`Assets unit` has 38 (1.7%) missing values	Missing
`School_code` has unique values	Unique
`School_name` has unique values	Unique
`Longitude` has unique values	Unique
`Support_classes` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2023-08-20 01:36:34.308801
Analysis finished	2023-08-20 01:36:46.487129
Duration	12.18 seconds
Software version	ydata-profiling vv4.3.1
Download configuration	config.json

School_code
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	2216
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4290.3592

Minimum	1001
Maximum	8924
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.4 KiB

Quantile statistics

Minimum	1001
5-th percentile	1260.75
Q1	2409.75
median	3956.5
Q3	5558.25
95-th percentile	8517.25
Maximum	8924
Range	7923
Interquartile range (IQR)	3148.5

Descriptive statistics

Standard deviation	2349.9016
Coefficient of variation (CV)	0.54771674
Kurtosis	-0.7218706
Mean	4290.3592
Median Absolute Deviation (MAD)	1579
Skewness	0.65933236
Sum	9507436
Variance	5522037.3
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1001	1	< 0.1%
4555	1	< 0.1%
4548	1	< 0.1%
4549	1	< 0.1%
4551	1	< 0.1%
4552	1	< 0.1%
4553	1	< 0.1%
4554	1	< 0.1%
4556	1	< 0.1%
4564	1	< 0.1%
Other values (2206)	2206	99.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1001	1	< 0.1%
1002	1	< 0.1%
1003	1	< 0.1%
1007	1	< 0.1%
1008	1	< 0.1%
1009	1	< 0.1%
1015	1	< 0.1%
1016	1	< 0.1%
1017	1	< 0.1%
1019	1	< 0.1%

Value	Count	Frequency (%)
8924	1	< 0.1%
8922	1	< 0.1%
8919	1	< 0.1%
8917	1	< 0.1%
8916	1	< 0.1%
8915	1	< 0.1%
8914	1	< 0.1%
8913	1	< 0.1%
8912	1	< 0.1%
8911	1	< 0.1%

AgeID
Real number (ℝ)

HIGH CORRELATION

Distinct	2214
Distinct (%)	100.0%
Missing	2
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	50555.43

Minimum	6354
Maximum	88561
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.4 KiB

Quantile statistics

Minimum	6354
5-th percentile	45796.65
Q1	48155.25
median	49675.5
Q3	50810.25
95-th percentile	59847.9
Maximum	88561
Range	82207
Interquartile range (IQR)	2655

Descriptive statistics

Standard deviation	7825.7932
Coefficient of variation (CV)	0.15479629
Kurtosis	15.993242
Mean	50555.43
Median Absolute Deviation (MAD)	1161.5
Skewness	-0.0093772809
Sum	1.1192972 × 10⁸
Variance	61243039
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
44402	1	< 0.1%
56239	1	< 0.1%
56256	1	< 0.1%
45332	1	< 0.1%
56214	1	< 0.1%
55123	1	< 0.1%
48552	1	< 0.1%
51080	1	< 0.1%
56274	1	< 0.1%
54746	1	< 0.1%
Other values (2204)	2204	99.5%
(Missing)	2	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6354	1	< 0.1%
6356	1	< 0.1%
6398	1	< 0.1%
6399	1	< 0.1%
6405	1	< 0.1%
6432	1	< 0.1%
6441	1	< 0.1%
6451	1	< 0.1%
6496	1	< 0.1%
6497	1	< 0.1%

Value	Count	Frequency (%)
88561	1	< 0.1%
88559	1	< 0.1%
88435	1	< 0.1%
88427	1	< 0.1%
88425	1	< 0.1%
88423	1	< 0.1%
88421	1	< 0.1%
88419	1	< 0.1%
88417	1	< 0.1%
88415	1	< 0.1%

School_name
Text

UNIQUE

Distinct	2216
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	17.4 KiB

Length

Max length	60
Median length	53
Mean length	24.078069
Min length	11

Characters and Unicode

Total characters	53357
Distinct characters	55
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2216 ?
Unique (%)	100.0%

Sample

1st row	Abbotsford Public School
2nd row	Aberdeen Public School
3rd row	Abermain Public School
4th row	Adaminaby Public School
5th row	Adamstown Public School

Value	Count	Frequency (%)
school	2137	27.8%
public	1583	20.6%
high	359	4.7%
park	68	0.9%
central	60	0.8%
north	60	0.8%
west	56	0.7%
college	52	0.7%
south	49	0.6%
hill	42	0.5%
Other values (1754)	3208	41.8%

Most occurring characters

Value	Count	Frequency (%)
o	6076	11.4%
	5458	10.2%
l	5425	10.2%
c	4032	7.6%
i	3157	5.9%
h	3058	5.7%
a	2448	4.6%
S	2396	4.5%
u	2285	4.3%
e	2237	4.2%
Other values (45)	16785	31.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	40221	75.4%
Uppercase Letter	7660	14.4%
Space Separator	5458	10.2%
Dash Punctuation	10	< 0.1%
Other Punctuation	8	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	6076	15.1%
l	5425	13.5%
c	4032	10.0%
i	3157	7.8%
h	3058	7.6%
a	2448	6.1%
u	2285	5.7%
e	2237	5.6%
r	1954	4.9%
b	1947	4.8%
Other values (16)	7602	18.9%

Uppercase Letter

Value	Count	Frequency (%)
S	2396	31.3%
P	1800	23.5%
H	592	7.7%
C	487	6.4%
B	346	4.5%
W	255	3.3%
M	228	3.0%
G	189	2.5%
E	170	2.2%
T	167	2.2%
Other values (15)	1030	13.4%

Other Punctuation

Value	Count	Frequency (%)
,	7	87.5%
'	1	12.5%

Space Separator

Value	Count	Frequency (%)
	5458	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	47881	89.7%
Common	5476	10.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	6076	12.7%
l	5425	11.3%
c	4032	8.4%
i	3157	6.6%
h	3058	6.4%
a	2448	5.1%
S	2396	5.0%
u	2285	4.8%
e	2237	4.7%
r	1954	4.1%
Other values (41)	14813	30.9%

Common

Value	Count	Frequency (%)
	5458	99.7%
-	10	0.2%
,	7	0.1%
'	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	53357	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	6076	11.4%
	5458	10.2%
l	5425	10.2%
c	4032	7.6%
i	3157	5.9%
h	3058	5.7%
a	2448	4.6%
S	2396	4.5%
u	2285	4.3%
e	2237	4.2%
Other values (45)	16785	31.5%

Street
Text

Distinct	2000
Distinct (%)	90.3%
Missing	0
Missing (%)	0.0%
Memory size	17.4 KiB

Length

Max length	63
Median length	41
Mean length	13.616877
Min length	5

Characters and Unicode

Total characters	30175
Distinct characters	69
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1863 ?
Unique (%)	84.1%

Sample

1st row	350 Great North Rd
2nd row	Segenhoe St
3rd row	Goulburn St
4th row	9 Cosgrove Street
5th row	Bryant St

Value	Count	Frequency (%)
st	771	13.3%
rd	555	9.6%
street	212	3.7%
road	156	2.7%
ave	151	2.6%
drive	116	2.0%
	90	1.6%
hwy	50	0.9%
avenue	43	0.7%
park	33	0.6%
Other values (2149)	3601	62.3%

Most occurring characters

Value	Count	Frequency (%)
	3565	11.8%
e	2420	8.0%
t	1907	6.3%
a	1881	6.2%
r	1808	6.0%
o	1414	4.7%
n	1269	4.2%
d	1234	4.1%
S	1189	3.9%
l	1155	3.8%
Other values (59)	12333	40.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	18766	62.2%
Uppercase Letter	5683	18.8%
Space Separator	3565	11.8%
Decimal Number	1925	6.4%
Dash Punctuation	129	0.4%
Other Punctuation	105	0.3%
Open Punctuation	1	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2420	12.9%
t	1907	10.2%
a	1881	10.0%
r	1808	9.6%
o	1414	7.5%
n	1269	6.8%
d	1234	6.6%
l	1155	6.2%
i	1078	5.7%
s	654	3.5%
Other values (16)	3946	21.0%

Uppercase Letter

Value	Count	Frequency (%)
S	1189	20.9%
R	903	15.9%
A	395	7.0%
C	362	6.4%
B	303	5.3%
H	256	4.5%
M	249	4.4%
P	239	4.2%
D	233	4.1%
W	227	4.0%
Other values (15)	1327	23.4%

Decimal Number

Value	Count	Frequency (%)
1	394	20.5%
2	243	12.6%
3	200	10.4%
5	191	9.9%
0	177	9.2%
4	164	8.5%
7	152	7.9%
8	150	7.8%
6	136	7.1%
9	118	6.1%

Other Punctuation

Value	Count	Frequency (%)
&	90	85.7%
'	8	7.6%
/	4	3.8%
,	3	2.9%

Space Separator

Value	Count	Frequency (%)
	3565	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	129	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	24449	81.0%
Common	5726	19.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2420	9.9%
t	1907	7.8%
a	1881	7.7%
r	1808	7.4%
o	1414	5.8%
n	1269	5.2%
d	1234	5.0%
S	1189	4.9%
l	1155	4.7%
i	1078	4.4%
Other values (41)	9094	37.2%

Common

Value	Count	Frequency (%)
	3565	62.3%
1	394	6.9%
2	243	4.2%
3	200	3.5%
5	191	3.3%
0	177	3.1%
4	164	2.9%
7	152	2.7%
8	150	2.6%
6	136	2.4%
Other values (8)	354	6.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	30175	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	3565	11.8%
e	2420	8.0%
t	1907	6.3%
a	1881	6.2%
r	1808	6.0%
o	1414	4.7%
n	1269	4.2%
d	1234	4.1%
S	1189	3.9%
l	1155	3.8%
Other values (59)	12333	40.9%

Town_suburb
Text

Distinct	1618
Distinct (%)	73.1%
Missing	4
Missing (%)	0.2%
Memory size	17.4 KiB

Length

Max length	20
Median length	17
Mean length	9.7902351
Min length	3

Characters and Unicode

Total characters	21656
Distinct characters	55
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1270 ?
Unique (%)	57.4%

Sample

1st row	Abbotsford
2nd row	Aberdeen
3rd row	Abermain
4th row	ADAMINABY
5th row	Adamstown

Value	Count	Frequency (%)
park	56	2.0%
hill	49	1.7%
north	43	1.5%
hills	38	1.3%
wagga	30	1.0%
st	26	0.9%
west	25	0.9%
bay	25	0.9%
heights	22	0.8%
south	22	0.8%
Other values (1295)	2523	88.2%

Most occurring characters

Value	Count	Frequency (%)
	2067	9.5%
a	1712	7.9%
e	1392	6.4%
r	1266	5.8%
o	1206	5.6%
l	1201	5.5%
n	1119	5.2%
i	800	3.7%
t	668	3.1%
s	540	2.5%
Other values (45)	9685	44.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13565	62.6%
Uppercase Letter	6018	27.8%
Space Separator	2067	9.5%
Dash Punctuation	5	< 0.1%
Other Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	1712	12.6%
e	1392	10.3%
r	1266	9.3%
o	1206	8.9%
l	1201	8.9%
n	1119	8.2%
i	800	5.9%
t	668	4.9%
s	540	4.0%
u	465	3.4%
Other values (16)	3196	23.6%

Uppercase Letter

Value	Count	Frequency (%)
A	464	7.7%
R	429	7.1%
E	422	7.0%
N	379	6.3%
B	373	6.2%
L	343	5.7%
T	336	5.6%
O	331	5.5%
C	327	5.4%
H	312	5.2%
Other values (16)	2302	38.3%

Space Separator

Value	Count	Frequency (%)
	2067	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5	100.0%

Other Punctuation

Value	Count	Frequency (%)
'	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	19583	90.4%
Common	2073	9.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	1712	8.7%
e	1392	7.1%
r	1266	6.5%
o	1206	6.2%
l	1201	6.1%
n	1119	5.7%
i	800	4.1%
t	668	3.4%
s	540	2.8%
u	465	2.4%
Other values (42)	9214	47.1%

Common

Value	Count	Frequency (%)
	2067	99.7%
-	5	0.2%
'	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21656	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2067	9.5%
a	1712	7.9%
e	1392	6.4%
r	1266	5.8%
o	1206	5.6%
l	1201	5.5%
n	1119	5.2%
i	800	3.7%
t	668	3.1%
s	540	2.5%
Other values (45)	9685	44.7%

Postcode
Real number (ℝ)

HIGH CORRELATION

Distinct	579
Distinct (%)	26.1%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	2416.8284

Minimum	2000
Maximum	4383
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.4 KiB

Quantile statistics

Minimum	2000
5-th percentile	2066.7
Q1	2204
median	2420
Q3	2590
95-th percentile	2820
Maximum	4383
Range	2383
Interquartile range (IQR)	386

Descriptive statistics

Standard deviation	247.51608
Coefficient of variation (CV)	0.10241359
Kurtosis	0.78570329
Mean	2416.8284
Median Absolute Deviation (MAD)	209
Skewness	0.45060369
Sum	5353275
Variance	61264.211
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2480	32	1.4%
2250	26	1.2%
2170	24	1.1%
2560	24	1.1%
2770	21	0.9%
2340	19	0.9%
2259	18	0.8%
2650	17	0.8%
2145	17	0.8%
2450	17	0.8%
Other values (569)	2000	90.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2000	3	0.1%
2007	1	< 0.1%
2008	1	< 0.1%
2010	5	0.2%
2011	3	0.1%
2015	2	0.1%
2017	1	< 0.1%
2018	2	0.1%
2019	4	0.2%
2020	2	0.1%

Value	Count	Frequency (%)
4383	1	< 0.1%
3644	1	< 0.1%
2898	1	< 0.1%
2880	10	0.5%
2879	1	< 0.1%
2878	1	< 0.1%
2877	3	0.1%
2876	1	< 0.1%
2875	1	< 0.1%
2874	1	< 0.1%

Phone
Text

Distinct	2210
Distinct (%)	99.9%
Missing	4
Missing (%)	0.2%
Memory size	17.4 KiB

Length

Max length	14
Median length	9
Mean length	9.1641049
Min length	8

Characters and Unicode

Total characters	20271
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2209 ?
Unique (%)	99.9%

Sample

1st row	9713 6220
2nd row	6543 7271
3rd row	4930 4210
4th row	6454 2265
5th row	4957 1114

Value	Count	Frequency (%)
02	56	1.2%
03	33	0.7%
07	17	0.4%
9622	16	0.4%
9773	15	0.3%
9607	15	0.3%
4284	14	0.3%
9631	13	0.3%
9602	13	0.3%
9625	13	0.3%
Other values (2489)	4329	95.5%

Most occurring characters

Value	Count	Frequency (%)
6	2411	11.9%
	2323	11.5%
4	2163	10.7%
9	2049	10.1%
2	2040	10.1%
5	1677	8.3%
1	1628	8.0%
3	1624	8.0%
7	1553	7.7%
8	1428	7.0%
Other values (3)	1375	6.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	17942	88.5%
Space Separator	2323	11.5%
Open Punctuation	3	< 0.1%
Close Punctuation	3	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
6	2411	13.4%
4	2163	12.1%
9	2049	11.4%
2	2040	11.4%
5	1677	9.3%
1	1628	9.1%
3	1624	9.1%
7	1553	8.7%
8	1428	8.0%
0	1369	7.6%

Space Separator

Value	Count	Frequency (%)
	2323	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	3	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	20271	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
6	2411	11.9%
	2323	11.5%
4	2163	10.7%
9	2049	10.1%
2	2040	10.1%
5	1677	8.3%
1	1628	8.0%
3	1624	8.0%
7	1553	7.7%
8	1428	7.0%
Other values (3)	1375	6.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20271	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
6	2411	11.9%
	2323	11.5%
4	2163	10.7%
9	2049	10.1%
2	2040	10.1%
5	1677	8.3%
1	1628	8.0%
3	1624	8.0%
7	1553	7.7%
8	1428	7.0%
Other values (3)	1375	6.8%

School_Email
Text

Distinct	2215
Distinct (%)	100.0%
Missing	1
Missing (%)	< 0.1%
Memory size	17.4 KiB

Length

Max length	53
Median length	39
Mean length	32.455079
Min length	20

Characters and Unicode

Total characters	71888
Distinct characters	43
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2215 ?
Unique (%)	100.0%

Sample

1st row	abbotsford-p.school@det.nsw.edu.au
2nd row	aberdeen-p.school@det.nsw.edu.au
3rd row	abermain-p.school@det.nsw.edu.au
4th row	adaminaby-p.school@det.nsw.edu.au
5th row	adamstown-p.school@det.nsw.edu.au

Value	Count	Frequency (%)
abbotsford-p.school@det.nsw.edu.au	1	< 0.1%
alma-p.school@det.nsw.edu.au	1	< 0.1%
arcadia-p.school@det.nsw.edu.au	1	< 0.1%
appin-p.school@det.nsw.edu.au	1	< 0.1%
annandalen-p.school@det.nsw.edu.au	1	< 0.1%
annandale-p.school@det.nsw.edu.au	1	< 0.1%
annabay-p.school@det.nsw.edu.au	1	< 0.1%
alstonvill-p.school@det.nsw.edu.au	1	< 0.1%
alburywest-p.school@det.nsw.edu.au	1	< 0.1%
awaba-p.school@det.nsw.edu.au	1	< 0.1%
Other values (2205)	2205	99.5%

Most occurring characters

Value	Count	Frequency (%)
.	8851	12.3%
e	6126	8.5%
o	5828	8.1%
s	5393	7.5%
d	5038	7.0%
u	4950	6.9%
a	4261	5.9%
n	3666	5.1%
l	3652	5.1%
h	3248	4.5%
Other values (33)	20875	29.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	58584	81.5%
Other Punctuation	11066	15.4%
Dash Punctuation	2208	3.1%
Uppercase Letter	30	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6126	10.5%
o	5828	9.9%
s	5393	9.2%
d	5038	8.6%
u	4950	8.4%
a	4261	7.3%
n	3666	6.3%
l	3652	6.2%
h	3248	5.5%
t	3187	5.4%
Other values (16)	13235	22.6%

Uppercase Letter

Value	Count	Frequency (%)
C	7	23.3%
S	4	13.3%
B	3	10.0%
L	2	6.7%
H	2	6.7%
R	2	6.7%
N	2	6.7%
T	2	6.7%
J	1	3.3%
I	1	3.3%
Other values (4)	4	13.3%

Other Punctuation

Value	Count	Frequency (%)
.	8851	80.0%
@	2215	20.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2208	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	58614	81.5%
Common	13274	18.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6126	10.5%
o	5828	9.9%
s	5393	9.2%
d	5038	8.6%
u	4950	8.4%
a	4261	7.3%
n	3666	6.3%
l	3652	6.2%
h	3248	5.5%
t	3187	5.4%
Other values (30)	13265	22.6%

Common

Value	Count	Frequency (%)
.	8851	66.7%
@	2215	16.7%
-	2208	16.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	71888	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	8851	12.3%
e	6126	8.5%
o	5828	8.1%
s	5393	7.5%
d	5038	7.0%
u	4950	6.9%
a	4261	5.9%
n	3666	5.1%
l	3652	5.1%
h	3248	4.5%
Other values (33)	20875	29.0%

Website
Text

Distinct	2214
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Memory size	17.4 KiB

Length

Max length	51
Median length	48
Mean length	37.434567
Min length	23

Characters and Unicode

Total characters	82955
Distinct characters	35
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2212 ?
Unique (%)	99.8%

Sample

1st row	https://abbotsford-p.schools.nsw.gov.au
2nd row	https://aberdeen-p.schools.nsw.gov.au
3rd row	https://abermain-p.schools.nsw.gov.au
4th row	https://adaminaby-p.schools.nsw.gov.au
5th row	https://adamstown-p.schools.nsw.gov.au

Value	Count	Frequency (%)
https://walgett-h.schools.nsw.gov.au	2	0.1%
available	2	0.1%
not	2	0.1%
currently	2	0.1%
https://alstonvill-p.schools.nsw.gov.au	1	< 0.1%
https://ardlethan-c.schools.nsw.gov.au	1	< 0.1%
https://arcadia-p.schools.nsw.gov.au	1	< 0.1%
https://appin-p.schools.nsw.gov.au	1	< 0.1%
https://annandalen-p.schools.nsw.gov.au	1	< 0.1%
https://annandale-p.schools.nsw.gov.au	1	< 0.1%
Other values (2206)	2206	99.4%

Most occurring characters

Value	Count	Frequency (%)
s	9794	11.8%
.	8842	10.7%
o	8019	9.7%
h	5453	6.6%
t	5407	6.5%
/	4484	5.4%
a	4256	5.1%
p	4111	5.0%
n	3656	4.4%
l	3652	4.4%
Other values (25)	25281	30.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	65214	78.6%
Other Punctuation	15540	18.7%
Dash Punctuation	2190	2.6%
Uppercase Letter	7	< 0.1%
Space Separator	4	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	9794	15.0%
o	8019	12.3%
h	5453	8.4%
t	5407	8.3%
a	4256	6.5%
p	4111	6.3%
n	3656	5.6%
l	3652	5.6%
g	2834	4.3%
c	2811	4.3%
Other values (16)	15221	23.3%

Uppercase Letter

Value	Count	Frequency (%)
N	3	42.9%
P	2	28.6%
J	1	14.3%
H	1	14.3%

Other Punctuation

Value	Count	Frequency (%)
.	8842	56.9%
/	4484	28.9%
:	2214	14.2%

Dash Punctuation

Value	Count	Frequency (%)
-	2190	100.0%

Space Separator

Value	Count	Frequency (%)
	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	65221	78.6%
Common	17734	21.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	9794	15.0%
o	8019	12.3%
h	5453	8.4%
t	5407	8.3%
a	4256	6.5%
p	4111	6.3%
n	3656	5.6%
l	3652	5.6%
g	2834	4.3%
c	2811	4.3%
Other values (20)	15228	23.3%

Common

Value	Count	Frequency (%)
.	8842	49.9%
/	4484	25.3%
:	2214	12.5%
-	2190	12.3%
	4	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	82955	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	9794	11.8%
.	8842	10.7%
o	8019	9.7%
h	5453	6.6%
t	5407	6.5%
/	4484	5.4%
a	4256	5.1%
p	4111	5.0%
n	3656	4.4%
l	3652	4.4%
Other values (25)	25281	30.5%

Fax
Text

MISSING

Distinct	2113
Distinct (%)	99.9%
Missing	101
Missing (%)	4.6%
Memory size	17.4 KiB

Length

Max length	14
Median length	9
Mean length	9.1352246
Min length	8

Characters and Unicode

Total characters	19321
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2111 ?
Unique (%)	99.8%

Sample

1st row	9712 1825
2nd row	6543 7712
3rd row	4930 4319
4th row	6454 2552
5th row	4956 2446

Value	Count	Frequency (%)
02	34	0.8%
03	32	0.7%
4956	18	0.4%
9831	18	0.4%
07	17	0.4%
4942	15	0.3%
4628	15	0.3%
9896	15	0.3%
9838	15	0.3%
4950	14	0.3%
Other values (2437)	4127	95.5%

Most occurring characters

Value	Count	Frequency (%)
6	2238	11.6%
	2205	11.4%
9	2115	10.9%
4	2046	10.6%
2	1831	9.5%
3	1716	8.9%
5	1589	8.2%
8	1588	8.2%
7	1503	7.8%
1	1268	6.6%
Other values (3)	1222	6.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	17112	88.6%
Space Separator	2205	11.4%
Open Punctuation	2	< 0.1%
Close Punctuation	2	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
6	2238	13.1%
9	2115	12.4%
4	2046	12.0%
2	1831	10.7%
3	1716	10.0%
5	1589	9.3%
8	1588	9.3%
7	1503	8.8%
1	1268	7.4%
0	1218	7.1%

Space Separator

Value	Count	Frequency (%)
	2205	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	19321	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
6	2238	11.6%
	2205	11.4%
9	2115	10.9%
4	2046	10.6%
2	1831	9.5%
3	1716	8.9%
5	1589	8.2%
8	1588	8.2%
7	1503	7.8%
1	1268	6.6%
Other values (3)	1222	6.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19321	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
6	2238	11.6%
	2205	11.4%
9	2115	10.9%
4	2046	10.6%
2	1831	9.5%
3	1716	8.9%
5	1589	8.2%
8	1588	8.2%
7	1503	7.8%
1	1268	6.6%
Other values (3)	1222	6.3%

latest_year_enrolment_FTE
Real number (ℝ)

MISSING

Distinct	1002
Distinct (%)	46.3%
Missing	50
Missing (%)	2.3%
Infinite	0
Infinite (%)	0.0%
Mean	365.11159

Minimum	2
Maximum	2079
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.4 KiB

Quantile statistics

Minimum	2
5-th percentile	14
Q1	101.25
median	293
Q3	532
95-th percentile	985.675
Maximum	2079
Range	2077
Interquartile range (IQR)	430.75

Descriptive statistics

Standard deviation	323.15849
Coefficient of variation (CV)	0.88509514
Kurtosis	1.8723538
Mean	365.11159
Median Absolute Deviation (MAD)	215.8
Skewness	1.2403897
Sum	790831.7
Variance	104431.41
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11	17	0.8%
12	16	0.7%
22	14	0.6%
16	13	0.6%
35	13	0.6%
10	13	0.6%
14	13	0.6%
26	13	0.6%
23	12	0.5%
29	11	0.5%
Other values (992)	2031	91.7%
(Missing)	50	2.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	2	0.1%
3	1	< 0.1%
4	4	0.2%
5	2	0.1%
6	6	0.3%
7	9	0.4%
8	8	0.4%
9	11	0.5%
10	13	0.6%
11	17	0.8%

Value	Count	Frequency (%)
2079	1	< 0.1%
2049.3	1	< 0.1%
2044.4	1	< 0.1%
1948	1	< 0.1%
1874	1	< 0.1%
1686.8	1	< 0.1%
1637.4	1	< 0.1%
1606.8	1	< 0.1%
1601	1	< 0.1%
1578.6	1	< 0.1%

Indigenous_pct
Text

MISSING

Distinct	84
Distinct (%)	3.9%
Missing	50
Missing (%)	2.3%
Memory size	17.4 KiB

Length

Max length	5
Median length	4
Mean length	3.1925208
Min length	2

Characters and Unicode

Total characters	6915
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	0.6%

Sample

1st row	2.0
2nd row	22.0
3rd row	26.0
4th row	0.0
5th row	8.0

Value	Count	Frequency (%)
np	481	22.2%
0.0	125	5.8%
2.0	103	4.8%
1.0	98	4.5%
3.0	81	3.7%
4.0	80	3.7%
7.0	70	3.2%
6.0	67	3.1%
9.0	64	3.0%
5.0	57	2.6%
Other values (74)	940	43.4%

Most occurring characters

Value	Count	Frequency (%)
0	1940	28.1%
.	1685	24.4%
1	650	9.4%
n	481	7.0%
p	481	7.0%
2	421	6.1%
3	284	4.1%
4	203	2.9%
5	179	2.6%
6	166	2.4%
Other values (3)	425	6.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4268	61.7%
Other Punctuation	1685	24.4%
Lowercase Letter	962	13.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1940	45.5%
1	650	15.2%
2	421	9.9%
3	284	6.7%
4	203	4.8%
5	179	4.2%
6	166	3.9%
7	159	3.7%
9	138	3.2%
8	128	3.0%

Lowercase Letter

Value	Count	Frequency (%)
n	481	50.0%
p	481	50.0%

Other Punctuation

Value	Count	Frequency (%)
.	1685	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5953	86.1%
Latin	962	13.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1940	32.6%
.	1685	28.3%
1	650	10.9%
2	421	7.1%
3	284	4.8%
4	203	3.4%
5	179	3.0%
6	166	2.8%
7	159	2.7%
9	138	2.3%

Latin

Value	Count	Frequency (%)
n	481	50.0%
p	481	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6915	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1940	28.1%
.	1685	24.4%
1	650	9.4%
n	481	7.0%
p	481	7.0%
2	421	6.1%
3	284	4.1%
4	203	2.9%
5	179	2.6%
6	166	2.4%
Other values (3)	425	6.1%

LBOTE_pct
Text

MISSING

Distinct	101
Distinct (%)	4.7%
Missing	62
Missing (%)	2.8%
Memory size	17.4 KiB

Length

Max length	5
Median length	4
Mean length	3.3909006
Min length	2

Characters and Unicode

Total characters	7304
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	41.0
2nd row	np
3rd row	np
4th row	np
5th row	14.0

Value	Count	Frequency (%)
np	314	14.6%
0.0	184	8.5%
6.0	95	4.4%
5.0	79	3.7%
7.0	72	3.3%
8.0	70	3.2%
4.0	66	3.1%
9.0	56	2.6%
10.0	50	2.3%
3.0	46	2.1%
Other values (91)	1122	52.1%

Most occurring characters

Value	Count	Frequency (%)
0	2166	29.7%
.	1840	25.2%
1	434	5.9%
n	314	4.3%
p	314	4.3%
3	301	4.1%
6	298	4.1%
2	294	4.0%
5	276	3.8%
8	270	3.7%
Other values (3)	797	10.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4836	66.2%
Other Punctuation	1840	25.2%
Lowercase Letter	628	8.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2166	44.8%
1	434	9.0%
3	301	6.2%
6	298	6.2%
2	294	6.1%
5	276	5.7%
8	270	5.6%
4	270	5.6%
7	269	5.6%
9	258	5.3%

Lowercase Letter

Value	Count	Frequency (%)
n	314	50.0%
p	314	50.0%

Other Punctuation

Value	Count	Frequency (%)
.	1840	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	6676	91.4%
Latin	628	8.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2166	32.4%
.	1840	27.6%
1	434	6.5%
3	301	4.5%
6	298	4.5%
2	294	4.4%
5	276	4.1%
8	270	4.0%
4	270	4.0%
7	269	4.0%

Latin

Value	Count	Frequency (%)
n	314	50.0%
p	314	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7304	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2166	29.7%
.	1840	25.2%
1	434	5.9%
n	314	4.3%
p	314	4.3%
3	301	4.1%
6	298	4.1%
2	294	4.0%
5	276	3.8%
8	270	3.7%
Other values (3)	797	10.9%

ICSEA_value
Real number (ℝ)

MISSING

Distinct	430
Distinct (%)	19.9%
Missing	59
Missing (%)	2.7%
Infinite	0
Infinite (%)	0.0%
Mean	979.49003

Minimum	586
Maximum	1225
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.4 KiB

Quantile statistics

Minimum	586
5-th percentile	828
Q1	922
median	974
Q3	1043
95-th percentile	1139
Maximum	1225
Range	639
Interquartile range (IQR)	121

Descriptive statistics

Standard deviation	95.388613
Coefficient of variation (CV)	0.097385997
Kurtosis	0.67346853
Mean	979.49003
Median Absolute Deviation (MAD)	59
Skewness	-0.28980231
Sum	2112760
Variance	9098.9875
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
972	17	0.8%
994	17	0.8%
985	17	0.8%
959	16	0.7%
978	15	0.7%
922	15	0.7%
935	15	0.7%
944	15	0.7%
937	14	0.6%
1009	14	0.6%
Other values (420)	2002	90.3%
(Missing)	59	2.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
586	1	< 0.1%
595	1	< 0.1%
622	2	0.1%
631	1	< 0.1%
640	2	0.1%
646	1	< 0.1%
650	1	< 0.1%
652	1	< 0.1%
662	1	< 0.1%
666	1	< 0.1%

Value	Count	Frequency (%)
1225	1	< 0.1%
1222	1	< 0.1%
1211	1	< 0.1%
1207	1	< 0.1%
1200	1	< 0.1%
1196	1	< 0.1%
1194	1	< 0.1%
1192	1	< 0.1%
1191	1	< 0.1%
1189	1	< 0.1%

Level_of_schooling
Categorical

HIGH CORRELATION IMBALANCE

Distinct	7
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	17.4 KiB

Primary School	1589
Secondary School	405
Schools for Specific Purposes	117
Central/Community School	67
Environmental Education Centre	22
Other values (2)	16

Length

Max length	30
Median length	14
Mean length	15.616877
Min length	12

Characters and Unicode

Total characters	34607
Distinct characters	26
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Primary School
2nd row	Primary School
3rd row	Primary School
4th row	Primary School
5th row	Primary School

Common Values

Value	Count	Frequency (%)
Primary School	1589	71.7%
Secondary School	405	18.3%
Schools for Specific Purposes	117	5.3%
Central/Community School	67	3.0%
Environmental Education Centre	22	1.0%
Infants School	14	0.6%
Other School	2	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
school	2077	44.3%
primary	1589	33.9%
secondary	405	8.6%
schools	117	2.5%
for	117	2.5%
specific	117	2.5%
purposes	117	2.5%
central/community	67	1.4%
environmental	22	0.5%
education	22	0.5%
Other values (3)	38	0.8%

Most occurring characters

Value	Count	Frequency (%)
o	5138	14.8%
r	3930	11.4%
c	2855	8.2%
S	2716	7.8%
	2472	7.1%
l	2283	6.6%
h	2196	6.3%
a	2119	6.1%
y	2061	6.0%
i	1934	5.6%
Other values (16)	6903	19.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	27430	79.3%
Uppercase Letter	4638	13.4%
Space Separator	2472	7.1%
Other Punctuation	67	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	5138	18.7%
r	3930	14.3%
c	2855	10.4%
l	2283	8.3%
h	2196	8.0%
a	2119	7.7%
y	2061	7.5%
i	1934	7.1%
m	1745	6.4%
e	774	2.8%
Other values (8)	2395	8.7%

Uppercase Letter

Value	Count	Frequency (%)
S	2716	58.6%
P	1706	36.8%
C	156	3.4%
E	44	0.9%
I	14	0.3%
O	2	< 0.1%

Space Separator

Value	Count	Frequency (%)
	2472	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	67	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	32068	92.7%
Common	2539	7.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	5138	16.0%
r	3930	12.3%
c	2855	8.9%
S	2716	8.5%
l	2283	7.1%
h	2196	6.8%
a	2119	6.6%
y	2061	6.4%
i	1934	6.0%
m	1745	5.4%
Other values (14)	5091	15.9%

Common

Value	Count	Frequency (%)
	2472	97.4%
/	67	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	34607	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	5138	14.8%
r	3930	11.4%
c	2855	8.2%
S	2716	7.8%
	2472	7.1%
l	2283	6.6%
h	2196	6.3%
a	2119	6.1%
y	2061	6.0%
i	1934	5.6%
Other values (16)	6903	19.9%

Selective_school
Categorical

IMBALANCE

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.4 KiB

Not Selective	2169
Partially Selective	26
Fully Selective	21

Length

Max length	19
Median length	13
Mean length	13.08935
Min length	13

Characters and Unicode

Total characters	29006
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Not Selective
2nd row	Not Selective
3rd row	Not Selective
4th row	Not Selective
5th row	Not Selective

Common Values

Value	Count	Frequency (%)
Not Selective	2169	97.9%
Partially Selective	26	1.2%
Fully Selective	21	0.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
selective	2216	50.0%
not	2169	48.9%
partially	26	0.6%
fully	21	0.5%

Most occurring characters

Value	Count	Frequency (%)
e	6648	22.9%
t	4411	15.2%
l	2310	8.0%
i	2242	7.7%
	2216	7.6%
S	2216	7.6%
c	2216	7.6%
v	2216	7.6%
N	2169	7.5%
o	2169	7.5%
Other values (6)	193	0.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	22358	77.1%
Uppercase Letter	4432	15.3%
Space Separator	2216	7.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6648	29.7%
t	4411	19.7%
l	2310	10.3%
i	2242	10.0%
c	2216	9.9%
v	2216	9.9%
o	2169	9.7%
a	52	0.2%
y	47	0.2%
r	26	0.1%

Uppercase Letter

Value	Count	Frequency (%)
S	2216	50.0%
N	2169	48.9%
P	26	0.6%
F	21	0.5%

Space Separator

Value	Count	Frequency (%)
	2216	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	26790	92.4%
Common	2216	7.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6648	24.8%
t	4411	16.5%
l	2310	8.6%
i	2242	8.4%
S	2216	8.3%
c	2216	8.3%
v	2216	8.3%
N	2169	8.1%
o	2169	8.1%
a	52	0.2%
Other values (5)	141	0.5%

Common

Value	Count	Frequency (%)
	2216	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	29006	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6648	22.9%
t	4411	15.2%
l	2310	8.0%
i	2242	7.7%
	2216	7.6%
S	2216	7.6%
c	2216	7.6%
v	2216	7.6%
N	2169	7.5%
o	2169	7.5%
Other values (6)	193	0.7%

Opportunity_class
Boolean

IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 KiB

False	2139
True	77

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	2139	96.5%
True	77	3.5%

School_specialty_type
Categorical

IMBALANCE

Distinct	15
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	17.4 KiB

Comprehensive	2136
Junior College	18
Senior College	16
Technology	10
Performing Arts	8
Other values (10)	28

Length

Max length	18
Median length	13
Mean length	12.976083
Min length	5

Characters and Unicode

Total characters	28755
Distinct characters	34
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	0.3%

Sample

1st row	Comprehensive
2nd row	Comprehensive
3rd row	Comprehensive
4th row	Comprehensive
5th row	Comprehensive

Common Values

Value	Count	Frequency (%)
Comprehensive	2136	96.4%
Junior College	18	0.8%
Senior College	16	0.7%
Technology	10	0.5%
Performing Arts	8	0.4%
Language	7	0.3%
Sports	7	0.3%
Agricultural	5	0.2%
Distance Education	3	0.1%
Intensive English	1	< 0.1%
Other values (5)	5	0.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
comprehensive	2136	94.3%
college	34	1.5%
junior	18	0.8%
senior	16	0.7%
technology	12	0.5%
arts	10	0.4%
performing	8	0.4%
language	7	0.3%
sports	7	0.3%
agricultural	5	0.2%
Other values (9)	13	0.6%

Most occurring characters

Value	Count	Frequency (%)
e	6528	22.7%
o	2246	7.8%
r	2217	7.7%
n	2207	7.7%
i	2194	7.6%
C	2171	7.5%
s	2159	7.5%
h	2150	7.5%
m	2144	7.5%
p	2143	7.5%
Other values (24)	2596	9.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	26439	91.9%
Uppercase Letter	2266	7.9%
Space Separator	50	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6528	24.7%
o	2246	8.5%
r	2217	8.4%
n	2207	8.3%
i	2194	8.3%
s	2159	8.2%
h	2150	8.1%
m	2144	8.1%
p	2143	8.1%
v	2138	8.1%
Other values (9)	313	1.2%

Uppercase Letter

Value	Count	Frequency (%)
C	2171	95.8%
S	23	1.0%
J	18	0.8%
A	15	0.7%
T	12	0.5%
P	8	0.4%
L	7	0.3%
E	4	0.2%
D	3	0.1%
I	1	< 0.1%
Other values (4)	4	0.2%

Space Separator

Value	Count	Frequency (%)
	50	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	28705	99.8%
Common	50	0.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6528	22.7%
o	2246	7.8%
r	2217	7.7%
n	2207	7.7%
i	2194	7.6%
C	2171	7.6%
s	2159	7.5%
h	2150	7.5%
m	2144	7.5%
p	2143	7.5%
Other values (23)	2546	8.9%

Common

Value	Count	Frequency (%)
	50	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	28755	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6528	22.7%
o	2246	7.8%
r	2217	7.7%
n	2207	7.7%
i	2194	7.6%
C	2171	7.5%
s	2159	7.5%
h	2150	7.5%
m	2144	7.5%
p	2143	7.5%
Other values (24)	2596	9.0%

School_subtype
Categorical

HIGH CORRELATION IMBALANCE

Distinct	18
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	17.4 KiB

Kinder to Year 6	1589
Year 7 to Year 12	371
Kinder to Year 12	67
Medium / High Support needs	64
Environmental Education Centre (formerly Field Studies Centres)	22
Other values (13)	103

Length

Max length	63
Median length	16
Mean length	17.125903
Min length	15

Characters and Unicode

Total characters	37951
Distinct characters	44
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	0.1%

Sample

1st row	Kinder to Year 6
2nd row	Kinder to Year 6
3rd row	Kinder to Year 6
4th row	Kinder to Year 6
5th row	Kinder to Year 6

Common Values

Value	Count	Frequency (%)
Kinder to Year 6	1589	71.7%
Year 7 to Year 12	371	16.7%
Kinder to Year 12	67	3.0%
Medium / High Support needs	64	2.9%
Environmental Education Centre (formerly Field Studies Centres)	22	1.0%
Behaviour Disorder	22	1.0%
Year 7 to Year 10	16	0.7%
Kinder to Year 2	14	0.6%
Year 11 to Year 12	12	0.5%
Emotional disturbance	12	0.5%
Other values (8)	27	1.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
year	2480	26.6%
to	2076	22.3%
kinder	1670	17.9%
6	1589	17.1%
12	454	4.9%
7	389	4.2%
medium	64	0.7%
	64	0.7%
high	64	0.7%
support	64	0.7%
Other values (35)	393	4.2%

Most occurring characters

Value	Count	Frequency (%)
	7091	18.7%
e	4621	12.2%
r	4409	11.6%
a	2596	6.8%
Y	2480	6.5%
t	2312	6.1%
o	2309	6.1%
i	2002	5.3%
n	1909	5.0%
d	1904	5.0%
Other values (34)	6318	16.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	23214	61.2%
Space Separator	7091	18.7%
Uppercase Letter	4570	12.0%
Decimal Number	2966	7.8%
Other Punctuation	64	0.2%
Open Punctuation	23	0.1%
Close Punctuation	23	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4621	19.9%
r	4409	19.0%
a	2596	11.2%
t	2312	10.0%
o	2309	9.9%
i	2002	8.6%
n	1909	8.2%
d	1904	8.2%
u	221	1.0%
s	184	0.8%
Other values (10)	747	3.2%

Uppercase Letter

Value	Count	Frequency (%)
Y	2480	54.3%
K	1670	36.5%
S	96	2.1%
H	74	1.6%
M	64	1.4%
E	57	1.2%
C	45	1.0%
D	25	0.5%
F	22	0.5%
B	22	0.5%
Other values (4)	15	0.3%

Decimal Number

Value	Count	Frequency (%)
6	1589	53.6%
1	498	16.8%
2	468	15.8%
7	389	13.1%
0	20	0.7%
9	2	0.1%

Space Separator

Value	Count	Frequency (%)
	7091	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	64	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	23	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	23	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	27784	73.2%
Common	10167	26.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4621	16.6%
r	4409	15.9%
a	2596	9.3%
Y	2480	8.9%
t	2312	8.3%
o	2309	8.3%
i	2002	7.2%
n	1909	6.9%
d	1904	6.9%
K	1670	6.0%
Other values (24)	1572	5.7%

Common

Value	Count	Frequency (%)
	7091	69.7%
6	1589	15.6%
1	498	4.9%
2	468	4.6%
7	389	3.8%
/	64	0.6%
(	23	0.2%
)	23	0.2%
0	20	0.2%
9	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	37951	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	7091	18.7%
e	4621	12.2%
r	4409	11.6%
a	2596	6.8%
Y	2480	6.5%
t	2312	6.1%
o	2309	6.1%
i	2002	5.3%
n	1909	5.0%
d	1904	5.0%
Other values (34)	6318	16.6%

Support_classes
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	2216
Missing (%)	100.0%
Memory size	17.4 KiB

Preschool_ind
Boolean

IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 KiB

False	2114
True	102

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	2114	95.4%
True	102	4.6%

Distance_education
Categorical

IMBALANCE

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.4 KiB

N	2205
S	9
C	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2216
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	N
2nd row	N
3rd row	N
4th row	N
5th row	N

Common Values

Value	Count	Frequency (%)
N	2205	99.5%
S	9	0.4%
C	2	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
n	2205	99.5%
s	9	0.4%
c	2	0.1%

Most occurring characters

Value	Count	Frequency (%)
N	2205	99.5%
S	9	0.4%
C	2	0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2216	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	2205	99.5%
S	9	0.4%
C	2	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2216	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	2205	99.5%
S	9	0.4%
C	2	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2216	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	2205	99.5%
S	9	0.4%
C	2	0.1%

Intensive_english_centre
Boolean

IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 KiB

False	2200
True	16

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	2200	99.3%
True	16	0.7%

School_gender
Categorical

IMBALANCE

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.4 KiB

Coed	2169
Girls	24
Boys	23

Length

Max length	5
Median length	4
Mean length	4.0108303
Min length	4

Characters and Unicode

Total characters	8888
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Coed
2nd row	Coed
3rd row	Coed
4th row	Coed
5th row	Coed

Common Values

Value	Count	Frequency (%)
Coed	2169	97.9%
Girls	24	1.1%
Boys	23	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
coed	2169	97.9%
girls	24	1.1%
boys	23	1.0%

Most occurring characters

Value	Count	Frequency (%)
o	2192	24.7%
C	2169	24.4%
e	2169	24.4%
d	2169	24.4%
s	47	0.5%
G	24	0.3%
i	24	0.3%
r	24	0.3%
l	24	0.3%
B	23	0.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6672	75.1%
Uppercase Letter	2216	24.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	2192	32.9%
e	2169	32.5%
d	2169	32.5%
s	47	0.7%
i	24	0.4%
r	24	0.4%
l	24	0.4%
y	23	0.3%

Uppercase Letter

Value	Count	Frequency (%)
C	2169	97.9%
G	24	1.1%
B	23	1.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8888	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	2192	24.7%
C	2169	24.4%
e	2169	24.4%
d	2169	24.4%
s	47	0.5%
G	24	0.3%
i	24	0.3%
r	24	0.3%
l	24	0.3%
B	23	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8888	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	2192	24.7%
C	2169	24.4%
e	2169	24.4%
d	2169	24.4%
s	47	0.5%
G	24	0.3%
i	24	0.3%
r	24	0.3%
l	24	0.3%
B	23	0.3%

Late_opening_school
Boolean

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 KiB

False	2098
True	118

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	2098	94.7%
True	118	5.3%

Date_1st_teacher
Date

Distinct	787
Distinct (%)	35.5%
Missing	1
Missing (%)	< 0.1%
Memory size	17.4 KiB

Minimum	1849-01-01 00:00:00
Maximum	2023-07-17 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

LGA
Text

Distinct	130
Distinct (%)	5.9%
Missing	0
Missing (%)	0.0%
Memory size	17.4 KiB

Length

Max length	33
Median length	24
Mean length	15.19991
Min length	7

Characters and Unicode

Total characters	33683
Distinct characters	52
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Canada Bay (A)
2nd row	Upper Hunter Shire (A)
3rd row	Cessnock (C)
4th row	Snowy Monaro Regional (A)
5th row	Newcastle (C)

Value	Count	Frequency (%)
a	1270	23.9%
c	942	17.7%
regional	130	2.4%
shire	127	2.4%
blacktown	83	1.6%
central	81	1.5%
coast	77	1.4%
canterbury-bankstown	75	1.4%
lake	68	1.3%
macquarie	68	1.3%
Other values (144)	2397	45.1%

Most occurring characters

Value	Count	Frequency (%)
	3102	9.2%
a	2474	7.3%
e	2437	7.2%
)	2212	6.6%
(	2212	6.6%
r	1860	5.5%
n	1829	5.4%
l	1603	4.8%
o	1561	4.6%
C	1464	4.3%
Other values (42)	12929	38.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	20431	60.7%
Uppercase Letter	5498	16.3%
Space Separator	3102	9.2%
Close Punctuation	2212	6.6%
Open Punctuation	2212	6.6%
Dash Punctuation	224	0.7%
Connector Punctuation	4	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
C	1464	26.6%
A	1300	23.6%
B	385	7.0%
S	344	6.3%
W	255	4.6%
M	253	4.6%
R	224	4.1%
L	196	3.6%
P	193	3.5%
H	192	3.5%
Other values (14)	692	12.6%

Lowercase Letter

Value	Count	Frequency (%)
a	2474	12.1%
e	2437	11.9%
r	1860	9.1%
n	1829	9.0%
l	1603	7.8%
o	1561	7.6%
t	1194	5.8%
i	1148	5.6%
s	810	4.0%
u	657	3.2%
Other values (13)	4858	23.8%

Space Separator

Value	Count	Frequency (%)
	3102	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2212	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2212	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	224	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	25929	77.0%
Common	7754	23.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	2474	9.5%
e	2437	9.4%
r	1860	7.2%
n	1829	7.1%
l	1603	6.2%
o	1561	6.0%
C	1464	5.6%
A	1300	5.0%
t	1194	4.6%
i	1148	4.4%
Other values (37)	9059	34.9%

Common

Value	Count	Frequency (%)
	3102	40.0%
)	2212	28.5%
(	2212	28.5%
-	224	2.9%
_	4	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	33683	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	3102	9.2%
a	2474	7.3%
e	2437	7.2%
)	2212	6.6%
(	2212	6.6%
r	1860	5.5%
n	1829	5.4%
l	1603	4.8%
o	1561	4.6%
C	1464	4.3%
Other values (42)	12929	38.4%

electorate_from_2023
Text

Distinct	93
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Memory size	17.4 KiB

Length

Max length	19
Median length	13
Mean length	8.9584838
Min length	4

Characters and Unicode

Total characters	19852
Distinct characters	45
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Drummoyne
2nd row	Upper Hunter
3rd row	Cessnock
4th row	Monaro
5th row	Newcastle

Value	Count	Frequency (%)
wagga	72	2.7%
barwon	69	2.6%
macquarie	68	2.5%
cootamundra	62	2.3%
tablelands	61	2.3%
northern	61	2.3%
lismore	59	2.2%
murray	58	2.1%
goulburn	45	1.7%
tamworth	45	1.7%
Other values (97)	2104	77.8%

Most occurring characters

Value	Count	Frequency (%)
a	2070	10.4%
r	1711	8.6%
e	1580	8.0%
o	1467	7.4%
n	1325	6.7%
l	1283	6.5%
t	1057	5.3%
u	786	4.0%
s	769	3.9%
i	691	3.5%
Other values (35)	7113	35.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	16660	83.9%
Uppercase Letter	2704	13.6%
Space Separator	488	2.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	2070	12.4%
r	1711	10.3%
e	1580	9.5%
o	1467	8.8%
n	1325	8.0%
l	1283	7.7%
t	1057	6.3%
u	786	4.7%
s	769	4.6%
i	691	4.1%
Other values (14)	3921	23.5%

Uppercase Letter

Value	Count	Frequency (%)
C	356	13.2%
M	307	11.4%
B	257	9.5%
H	252	9.3%
W	230	8.5%
L	191	7.1%
T	158	5.8%
S	135	5.0%
P	110	4.1%
N	104	3.8%
Other values (10)	604	22.3%

Space Separator

Value	Count	Frequency (%)
	488	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	19364	97.5%
Common	488	2.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	2070	10.7%
r	1711	8.8%
e	1580	8.2%
o	1467	7.6%
n	1325	6.8%
l	1283	6.6%
t	1057	5.5%
u	786	4.1%
s	769	4.0%
i	691	3.6%
Other values (34)	6625	34.2%

Common

Value	Count	Frequency (%)
	488	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19852	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	2070	10.4%
r	1711	8.6%
e	1580	8.0%
o	1467	7.4%
n	1325	6.7%
l	1283	6.5%
t	1057	5.3%
u	786	4.0%
s	769	3.9%
i	691	3.5%
Other values (35)	7113	35.8%

electorate_2015_2022
Text

Distinct	93
Distinct (%)	4.2%
Missing	8
Missing (%)	0.4%
Memory size	17.4 KiB

Length

Max length	19
Median length	13
Mean length	8.8940217
Min length	4

Characters and Unicode

Total characters	19638
Distinct characters	46
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Drummoyne
2nd row	Upper Hunter
3rd row	Cessnock
4th row	Monaro
5th row	Newcastle

Value	Count	Frequency (%)
macquarie	78	2.9%
wagga	72	2.7%
barwon	69	2.6%
cootamundra	61	2.3%
tablelands	58	2.2%
northern	58	2.2%
murray	57	2.1%
lismore	55	2.0%
hills	52	1.9%
hunter	45	1.7%
Other values (96)	2081	77.5%

Most occurring characters

Value	Count	Frequency (%)
a	2119	10.8%
r	1682	8.6%
e	1556	7.9%
o	1410	7.2%
n	1291	6.6%
l	1281	6.5%
t	989	5.0%
u	818	4.2%
s	737	3.8%
i	686	3.5%
Other values (36)	7069	36.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	16444	83.7%
Uppercase Letter	2686	13.7%
Space Separator	478	2.4%
Dash Punctuation	30	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	2119	12.9%
r	1682	10.2%
e	1556	9.5%
o	1410	8.6%
n	1291	7.9%
l	1281	7.8%
t	989	6.0%
u	818	5.0%
s	737	4.5%
i	686	4.2%
Other values (14)	3875	23.6%

Uppercase Letter

Value	Count	Frequency (%)
C	340	12.7%
M	326	12.1%
H	265	9.9%
B	260	9.7%
L	197	7.3%
W	189	7.0%
T	150	5.6%
S	150	5.6%
P	111	4.1%
N	101	3.8%
Other values (10)	597	22.2%

Space Separator

Value	Count	Frequency (%)
	478	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	30	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	19130	97.4%
Common	508	2.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	2119	11.1%
r	1682	8.8%
e	1556	8.1%
o	1410	7.4%
n	1291	6.7%
l	1281	6.7%
t	989	5.2%
u	818	4.3%
s	737	3.9%
i	686	3.6%
Other values (34)	6561	34.3%

Common

Value	Count	Frequency (%)
	478	94.1%
-	30	5.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19638	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	2119	10.8%
r	1682	8.6%
e	1556	7.9%
o	1410	7.2%
n	1291	6.6%
l	1281	6.5%
t	989	5.0%
u	818	4.2%
s	737	3.8%
i	686	3.5%
Other values (36)	7069	36.0%

Fed_electorate
Categorical

HIGH CORRELATION

Distinct	47
Distinct (%)	2.1%
Missing	8
Missing (%)	0.4%
Memory size	17.4 KiB

Parkes	116
Farrer	98
Riverina	96
Page	94
New England	93
Other values (42)	1711

Length

Max length	15
Median length	11
Mean length	7.3319746
Min length	4

Characters and Unicode

Total characters	16189
Distinct characters	41
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Reid
2nd row	New England
3rd row	Paterson
4th row	Eden-Monaro
5th row	Newcastle

Common Values

Value	Count	Frequency (%)
Parkes	116	5.2%
Farrer	98	4.4%
Riverina	96	4.3%
Page	94	4.2%
New England	93	4.2%
Calare	79	3.6%
Lyne	71	3.2%
Eden-Monaro	67	3.0%
Hume	66	3.0%
Hunter	62	2.8%
Other values (37)	1366	61.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
parkes	116	4.9%
farrer	98	4.2%
riverina	96	4.1%
page	94	4.0%
new	93	4.0%
england	93	4.0%
calare	79	3.4%
lyne	71	3.0%
eden-monaro	67	2.9%
hume	66	2.8%
Other values (39)	1477	62.9%

Most occurring characters

Value	Count	Frequency (%)
a	1830	11.3%
e	1748	10.8%
r	1658	10.2%
n	1368	8.5%
o	812	5.0%
l	769	4.8%
i	730	4.5%
t	565	3.5%
d	534	3.3%
h	480	3.0%
Other values (31)	5695	35.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13528	83.6%
Uppercase Letter	2452	15.1%
Space Separator	142	0.9%
Dash Punctuation	67	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	1830	13.5%
e	1748	12.9%
r	1658	12.3%
n	1368	10.1%
o	812	6.0%
l	769	5.7%
i	730	5.4%
t	565	4.2%
d	534	3.9%
h	480	3.5%
Other values (14)	3034	22.4%

Uppercase Letter

Value	Count	Frequency (%)
M	292	11.9%
P	290	11.8%
C	264	10.8%
R	211	8.6%
B	201	8.2%
H	169	6.9%
N	161	6.6%
E	160	6.5%
W	157	6.4%
F	136	5.5%
Other values (5)	411	16.8%

Space Separator

Value	Count	Frequency (%)
	142	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	67	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15980	98.7%
Common	209	1.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	1830	11.5%
e	1748	10.9%
r	1658	10.4%
n	1368	8.6%
o	812	5.1%
l	769	4.8%
i	730	4.6%
t	565	3.5%
d	534	3.3%
h	480	3.0%
Other values (29)	5486	34.3%

Common

Value	Count	Frequency (%)
	142	67.9%
-	67	32.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16189	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	1830	11.3%
e	1748	10.8%
r	1658	10.2%
n	1368	8.5%
o	812	5.0%
l	769	4.8%
i	730	4.5%
t	565	3.5%
d	534	3.3%
h	480	3.0%
Other values (31)	5695	35.2%

Operational_directorate
Categorical

HIGH CORRELATION

Distinct	10
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	17.4 KiB

Regional North	301
Rural South and West	297
Metropolitan South	279
Rural North	269
Metropolitan South and West	267
Other values (5)	803

Length

Max length	27
Median length	21
Mean length	18.11417
Min length	10

Characters and Unicode

Total characters	40141
Distinct characters	24
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Metropolitan South
2nd row	Regional North and West
3rd row	Regional North
4th row	Rural South and West
5th row	Regional North

Common Values

Value	Count	Frequency (%)
Regional North	301	13.6%
Rural South and West	297	13.4%
Metropolitan South	279	12.6%
Rural North	269	12.1%
Metropolitan South and West	267	12.0%
Metropolitan North	261	11.8%
Regional South	254	11.5%
Regional North and West	253	11.4%
Connected Communities	34	1.5%
Unassigned	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
south	1097	18.1%
north	1084	17.9%
and	817	13.5%
west	817	13.5%
regional	808	13.3%
metropolitan	807	13.3%
rural	566	9.3%
connected	34	0.6%
communities	34	0.6%
unassigned	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
t	4680	11.7%
o	4671	11.6%
	3849	9.6%
a	2999	7.5%
n	2536	6.3%
e	2535	6.3%
r	2457	6.1%
h	2181	5.4%
l	2181	5.4%
u	1697	4.2%
Other values (14)	10355	25.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	31044	77.3%
Uppercase Letter	5248	13.1%
Space Separator	3849	9.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	4680	15.1%
o	4671	15.0%
a	2999	9.7%
n	2536	8.2%
e	2535	8.2%
r	2457	7.9%
h	2181	7.0%
l	2181	7.0%
u	1697	5.5%
i	1684	5.4%
Other values (6)	3423	11.0%

Uppercase Letter

Value	Count	Frequency (%)
R	1374	26.2%
S	1097	20.9%
N	1084	20.7%
W	817	15.6%
M	807	15.4%
C	68	1.3%
U	1	< 0.1%

Space Separator

Value	Count	Frequency (%)
	3849	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	36292	90.4%
Common	3849	9.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	4680	12.9%
o	4671	12.9%
a	2999	8.3%
n	2536	7.0%
e	2535	7.0%
r	2457	6.8%
h	2181	6.0%
l	2181	6.0%
u	1697	4.7%
i	1684	4.6%
Other values (13)	8671	23.9%

Common

Value	Count	Frequency (%)
	3849	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	40141	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	4680	11.7%
o	4671	11.6%
	3849	9.6%
a	2999	7.5%
n	2536	6.3%
e	2535	6.3%
r	2457	6.1%
h	2181	5.4%
l	2181	5.4%
u	1697	4.2%
Other values (14)	10355	25.8%

Principal_network
Text

Distinct	114
Distinct (%)	5.1%
Missing	0
Missing (%)	0.0%
Memory size	17.4 KiB

Length

Max length	28
Median length	16
Mean length	10.481498
Min length	4

Characters and Unicode

Total characters	23227
Distinct characters	53
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Iron Cove
2nd row	Upper Hunter
3rd row	Cessnock
4th row	Eden-Monaro
5th row	Glenrock

Value	Count	Frequency (%)
lake	101	3.0%
coast	101	3.0%
the	83	2.5%
north	78	2.3%
macquarie	61	1.8%
west	59	1.8%
port	58	1.7%
wagga	44	1.3%
hills	41	1.2%
river	41	1.2%
Other values (127)	2665	80.0%

Most occurring characters

Value	Count	Frequency (%)
a	2276	9.8%
e	2170	9.3%
r	1812	7.8%
o	1561	6.7%
n	1510	6.5%
t	1222	5.3%
l	1216	5.2%
	1116	4.8%
i	1045	4.5%
s	908	3.9%
Other values (43)	8391	36.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	18697	80.5%
Uppercase Letter	3339	14.4%
Space Separator	1116	4.8%
Dash Punctuation	41	0.2%
Decimal Number	34	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	2276	12.2%
e	2170	11.6%
r	1812	9.7%
o	1561	8.3%
n	1510	8.1%
t	1222	6.5%
l	1216	6.5%
i	1045	5.6%
s	908	4.9%
u	756	4.0%
Other values (14)	4221	22.6%

Uppercase Letter

Value	Count	Frequency (%)
C	489	14.6%
M	336	10.1%
W	300	9.0%
B	256	7.7%
L	223	6.7%
H	222	6.6%
T	212	6.3%
P	196	5.9%
G	196	5.9%
N	175	5.2%
Other values (14)	734	22.0%

Decimal Number

Value	Count	Frequency (%)
1	12	35.3%
2	11	32.4%
3	11	32.4%

Space Separator

Value	Count	Frequency (%)
	1116	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	41	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	22036	94.9%
Common	1191	5.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	2276	10.3%
e	2170	9.8%
r	1812	8.2%
o	1561	7.1%
n	1510	6.9%
t	1222	5.5%
l	1216	5.5%
i	1045	4.7%
s	908	4.1%
u	756	3.4%
Other values (38)	7560	34.3%

Common

Value	Count	Frequency (%)
	1116	93.7%
-	41	3.4%
1	12	1.0%
2	11	0.9%
3	11	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	23227	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	2276	9.8%
e	2170	9.3%
r	1812	7.8%
o	1561	6.7%
n	1510	6.5%
t	1222	5.3%
l	1216	5.2%
	1116	4.8%
i	1045	4.5%
s	908	3.9%
Other values (43)	8391	36.1%

Operational_directorate_office
Categorical

HIGH CORRELATION

Distinct	35
Distinct (%)	1.6%
Missing	1
Missing (%)	< 0.1%
Memory size	17.4 KiB

Nirimba	248
St Peters	140
Glenfield	121
MacPark	100
Wagga Wagga	84
Other values (30)	1522

Length

Max length	14
Median length	12
Mean length	8.7693002
Min length	5

Characters and Unicode

Total characters	19424
Distinct characters	40
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	St Peters
2nd row	Maitland
3rd row	Maitland
4th row	Queanbeyan
5th row	Gateshead West

Common Values

Value	Count	Frequency (%)
Nirimba	248	11.2%
St Peters	140	6.3%
Glenfield	121	5.5%
MacPark	100	4.5%
Wagga Wagga	84	3.8%
Maitland	82	3.7%
Tuggerah	81	3.7%
Gateshead West	80	3.6%
Arncliffe	79	3.6%
Warilla	78	3.5%
Other values (25)	1122	50.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nirimba	248	9.1%
wagga	168	6.2%
st	140	5.1%
peters	140	5.1%
glenfield	121	4.4%
macpark	100	3.7%
maitland	82	3.0%
tuggerah	81	3.0%
gateshead	80	2.9%
west	80	2.9%
Other values (32)	1487	54.5%

Most occurring characters

Value	Count	Frequency (%)
a	2427	12.5%
e	1765	9.1%
r	1499	7.7%
i	1241	6.4%
l	1186	6.1%
t	1012	5.2%
n	890	4.6%
o	836	4.3%
b	666	3.4%
g	653	3.4%
Other values (30)	7249	37.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	16085	82.8%
Uppercase Letter	2827	14.6%
Space Separator	512	2.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	2427	15.1%
e	1765	11.0%
r	1499	9.3%
i	1241	7.7%
l	1186	7.4%
t	1012	6.3%
n	890	5.5%
o	836	5.2%
b	666	4.1%
g	653	4.1%
Other values (13)	3910	24.3%

Uppercase Letter

Value	Count	Frequency (%)
W	444	15.7%
M	358	12.7%
G	338	12.0%
N	303	10.7%
P	296	10.5%
B	164	5.8%
A	157	5.6%
S	140	5.0%
D	137	4.8%
T	135	4.8%
Other values (6)	355	12.6%

Space Separator

Value	Count	Frequency (%)
	512	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	18912	97.4%
Common	512	2.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	2427	12.8%
e	1765	9.3%
r	1499	7.9%
i	1241	6.6%
l	1186	6.3%
t	1012	5.4%
n	890	4.7%
o	836	4.4%
b	666	3.5%
g	653	3.5%
Other values (29)	6737	35.6%

Common

Value	Count	Frequency (%)
	512	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19424	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	2427	12.5%
e	1765	9.1%
r	1499	7.7%
i	1241	6.4%
l	1186	6.1%
t	1012	5.2%
n	890	4.6%
o	836	4.3%
b	666	3.4%
g	653	3.4%
Other values (30)	7249	37.3%

Operational_directorate_office_phone
Categorical

HIGH CORRELATION

Distinct	35
Distinct (%)	1.6%
Missing	1
Missing (%)	< 0.1%
Memory size	17.4 KiB

9208 7611	248
9582 5800	160
9203 9900	121
9886 7000	100
02 6937 3800	84
Other values (30)	1502

Length

Max length	12
Median length	9
Mean length	9.5774266
Min length	9

Characters and Unicode

Total characters	21214
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	9582 5800
2nd row	4931 3500
3rd row	4931 3500
4th row	02 6200 5000
5th row	4088 3518

Common Values

Value	Count	Frequency (%)
9208 7611	248	11.2%
9582 5800	160	7.2%
9203 9900	121	5.5%
9886 7000	100	4.5%
02 6937 3800	84	3.8%
4931 3500	82	3.7%
4348 9100	81	3.7%
4088 3518	80	3.6%
9582 2800	79	3.6%
4267 6100	78	3.5%
Other values (25)	1102	49.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
02	377	7.8%
9208	248	5.1%
7611	248	5.1%
9582	239	4.9%
9900	176	3.6%
5800	160	3.3%
5000	154	3.2%
9203	121	2.5%
9886	100	2.1%
7000	100	2.1%
Other values (58)	2922	60.3%

Most occurring characters

Value	Count	Frequency (%)
0	5120	24.1%
	2630	12.4%
9	1955	9.2%
6	1930	9.1%
8	1870	8.8%
2	1633	7.7%
3	1484	7.0%
5	1290	6.1%
1	1164	5.5%
7	1054	5.0%
Other values (2)	1084	5.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	18550	87.4%
Space Separator	2630	12.4%
Uppercase Letter	34	0.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	5120	27.6%
9	1955	10.5%
6	1930	10.4%
8	1870	10.1%
2	1633	8.8%
3	1484	8.0%
5	1290	7.0%
1	1164	6.3%
7	1054	5.7%
4	1050	5.7%

Space Separator

Value	Count	Frequency (%)
	2630	100.0%

Uppercase Letter

Value	Count	Frequency (%)
Â	34	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	21180	99.8%
Latin	34	0.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	5120	24.2%
	2630	12.4%
9	1955	9.2%
6	1930	9.1%
8	1870	8.8%
2	1633	7.7%
3	1484	7.0%
5	1290	6.1%
1	1164	5.5%
7	1054	5.0%

Latin

Value	Count	Frequency (%)
Â	34	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21180	99.8%
None	34	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	5120	24.2%
	2630	12.4%
9	1955	9.2%
6	1930	9.1%
8	1870	8.8%
2	1633	7.7%
3	1484	7.0%
5	1290	6.1%
1	1164	5.5%
7	1054	5.0%

None

Value	Count	Frequency (%)
Â	34	100.0%

Operational_directorate_office_address
Categorical

HIGH CORRELATION

Distinct	36
Distinct (%)	1.6%
Missing	1
Missing (%)	< 0.1%
Memory size	17.4 KiB

Building T3C, Nirimba Education Precinct, Eastern Rd, Quakers Hill 2763	248
Church St, St Peters 2044	140
Roy Watts Rd, Glenfield 2167	121
Level 2, 75 Talavera Rd, Macquarie Park 2113	100
Level 4, 76 Morgan St, Wagga Wagga 2650	84
Other values (31)	1522

Length

Max length	71
Median length	48
Mean length	40.553499
Min length	23

Characters and Unicode

Total characters	89826
Distinct characters	60
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Church St, St Peters 2044
2nd row	Level 1, 2 Caroline Pl, Maitland 2320
3rd row	Level 1, 2 Caroline Pl, Maitland 2320
4th row	Level 1, City Link Plaza, 24-36 Morisset St, Queanbeyan 2620
5th row	40-44 Coral Cr, Gateshead West 2290

Common Values

Value	Count	Frequency (%)
Building T3C, Nirimba Education Precinct, Eastern Rd, Quakers Hill 2763	248	11.2%
Church St, St Peters 2044	140	6.3%
Roy Watts Rd, Glenfield 2167	121	5.5%
Level 2, 75 Talavera Rd, Macquarie Park 2113	100	4.5%
Level 4, 76 Morgan St, Wagga Wagga 2650	84	3.8%
Level 1, 2 Caroline Pl, Maitland 2320	82	3.7%
14 Pioneer Ave, Tuggerah 2259	81	3.7%
40-44 Coral Cr, Gateshead West 2290	80	3.6%
Cnr Segenhoe & Avenal St, Arncliffe 2205	79	3.6%
30 Oldfield St, Warilla 2528	78	3.5%
Other values (26)	1122	50.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
st	1219	7.9%
level	671	4.4%
rd	608	4.0%
2	415	2.7%
building	284	1.8%
hill	266	1.7%
2763	248	1.6%
t3c	248	1.6%
quakers	248	1.6%
education	248	1.6%
Other values (166)	10930	71.0%

Most occurring characters

Value	Count	Frequency (%)
	13170	14.7%
e	6163	6.9%
a	5117	5.7%
r	4141	4.6%
i	3945	4.4%
t	3863	4.3%
l	3857	4.3%
,	3686	4.1%
n	3626	4.0%
2	3394	3.8%
Other values (50)	38864	43.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	47871	53.3%
Decimal Number	13245	14.7%
Space Separator	13170	14.7%
Uppercase Letter	11251	12.5%
Other Punctuation	3860	4.3%
Dash Punctuation	347	0.4%
Open Punctuation	41	< 0.1%
Close Punctuation	41	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6163	12.9%
a	5117	10.7%
r	4141	8.7%
i	3945	8.2%
t	3863	8.1%
l	3857	8.1%
n	3626	7.6%
o	2355	4.9%
d	2044	4.3%
u	1858	3.9%
Other values (14)	10902	22.8%

Uppercase Letter

Value	Count	Frequency (%)
S	1513	13.4%
C	1183	10.5%
R	906	8.1%
L	888	7.9%
P	877	7.8%
M	714	6.3%
B	692	6.2%
W	665	5.9%
E	496	4.4%
A	483	4.3%
Other values (10)	2834	25.2%

Decimal Number

Value	Count	Frequency (%)
2	3394	25.6%
0	1917	14.5%
4	1403	10.6%
1	1363	10.3%
3	1197	9.0%
6	1118	8.4%
7	956	7.2%
5	953	7.2%
8	480	3.6%
9	464	3.5%

Other Punctuation

Value	Count	Frequency (%)
,	3686	95.5%
&	174	4.5%

Space Separator

Value	Count	Frequency (%)
	13170	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	347	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	41	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	41	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	59122	65.8%
Common	30704	34.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6163	10.4%
a	5117	8.7%
r	4141	7.0%
i	3945	6.7%
t	3863	6.5%
l	3857	6.5%
n	3626	6.1%
o	2355	4.0%
d	2044	3.5%
u	1858	3.1%
Other values (34)	22153	37.5%

Common

Value	Count	Frequency (%)
	13170	42.9%
,	3686	12.0%
2	3394	11.1%
0	1917	6.2%
4	1403	4.6%
1	1363	4.4%
3	1197	3.9%
6	1118	3.6%
7	956	3.1%
5	953	3.1%
Other values (6)	1547	5.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	89826	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	13170	14.7%
e	6163	6.9%
a	5117	5.7%
r	4141	4.6%
i	3945	4.4%
t	3863	4.3%
l	3857	4.3%
,	3686	4.1%
n	3626	4.0%
2	3394	3.8%
Other values (50)	38864	43.3%

FACS_district
Categorical

HIGH CORRELATION

Distinct	8
Distinct (%)	0.4%
Missing	10
Missing (%)	0.5%
Memory size	17.4 KiB

Hunter New England & Central Coast	454
South Eastern Sydney, Northern Sydney & Sydney	423
Murrumbidgee, Far West & Western NSW	355
Western Sydney & Nepean Blue Mountains	304
South Western Sydney	247
Other values (3)	423

Length

Max length	46
Median length	36
Mean length	35.289211
Min length	7

Characters and Unicode

Total characters	77848
Distinct characters	34
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	South Eastern Sydney, Northern Sydney & Sydney
2nd row	Hunter New England & Central Coast
3rd row	Hunter New England & Central Coast
4th row	Illawarra Shoalhaven & Southern NSW
5th row	Hunter New England & Central Coast

Common Values

Value	Count	Frequency (%)
Hunter New England & Central Coast	454	20.5%
South Eastern Sydney, Northern Sydney & Sydney	423	19.1%
Murrumbidgee, Far West & Western NSW	355	16.0%
Western Sydney & Nepean Blue Mountains	304	13.7%
South Western Sydney	247	11.1%
Mid North Coast & Northern NSW	219	9.9%
Illawarra Shoalhaven & Southern NSW	203	9.2%
Unknown	1	< 0.1%
(Missing)	10	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
	1958	15.4%
sydney	1820	14.3%
western	906	7.1%
nsw	777	6.1%
coast	673	5.3%
south	670	5.3%
northern	642	5.1%
hunter	454	3.6%
new	454	3.6%
england	454	3.6%
Other values (14)	3902	30.7%

Most occurring characters

Value	Count	Frequency (%)
	10504	13.5%
e	8442	10.8%
n	6928	8.9%
r	5414	7.0%
t	5303	6.8%
a	3982	5.1%
S	3673	4.7%
y	3640	4.7%
o	2915	3.7%
d	2848	3.7%
Other values (24)	24199	31.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	52302	67.2%
Uppercase Letter	12306	15.8%
Space Separator	10504	13.5%
Other Punctuation	2736	3.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	8442	16.1%
n	6928	13.2%
r	5414	10.4%
t	5303	10.1%
a	3982	7.6%
y	3640	7.0%
o	2915	5.6%
d	2848	5.4%
s	2661	5.1%
u	2645	5.1%
Other values (10)	7524	14.4%

Uppercase Letter

Value	Count	Frequency (%)
S	3673	29.8%
N	2396	19.5%
W	2038	16.6%
C	1127	9.2%
M	878	7.1%
E	877	7.1%
H	454	3.7%
F	355	2.9%
B	304	2.5%
I	203	1.6%

Other Punctuation

Value	Count	Frequency (%)
&	1958	71.6%
,	778	28.4%

Space Separator

Value	Count	Frequency (%)
	10504	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	64608	83.0%
Common	13240	17.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	8442	13.1%
n	6928	10.7%
r	5414	8.4%
t	5303	8.2%
a	3982	6.2%
S	3673	5.7%
y	3640	5.6%
o	2915	4.5%
d	2848	4.4%
s	2661	4.1%
Other values (21)	18802	29.1%

Common

Value	Count	Frequency (%)
	10504	79.3%
&	1958	14.8%
,	778	5.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	77848	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	10504	13.5%
e	8442	10.8%
n	6928	8.9%
r	5414	7.0%
t	5303	6.8%
a	3982	5.1%
S	3673	4.7%
y	3640	4.7%
o	2915	3.7%
d	2848	3.7%
Other values (24)	24199	31.1%

Local_health_district
Categorical

HIGH CORRELATION

Distinct	16
Distinct (%)	0.7%
Missing	10
Missing (%)	0.5%
Memory size	17.4 KiB

Hunter New England	377
South Western Sydney	247
Western Sydney	185
Murrumbidgee	172
Northern Sydney	159
Other values (11)	1066

Length

Max length	21
Median length	18
Mean length	15.502267
Min length	6

Characters and Unicode

Total characters	34198
Distinct characters	32
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Sydney
2nd row	Hunter New England
3rd row	Hunter New England
4th row	Southern NSW
5th row	Hunter New England

Common Values

Value	Count	Frequency (%)
Hunter New England	377	17.0%
South Western Sydney	247	11.1%
Western Sydney	185	8.3%
Murrumbidgee	172	7.8%
Northern Sydney	159	7.2%
Western NSW	157	7.1%
South Eastern Sydney	154	6.9%
Northern NSW	138	6.2%
Nepean Blue Mountains	119	5.4%
Illawarra Shoalhaven	118	5.3%
Other values (6)	380	17.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sydney	855	16.7%
western	589	11.5%
south	401	7.9%
nsw	380	7.4%
hunter	377	7.4%
england	377	7.4%
new	377	7.4%
northern	297	5.8%
murrumbidgee	172	3.4%
coast	158	3.1%
Other values (13)	1124	22.0%

Most occurring characters

Value	Count	Frequency (%)
e	4245	12.4%
n	3666	10.7%
	2901	8.5%
r	2563	7.5%
t	2364	6.9%
S	1839	5.4%
y	1710	5.0%
a	1620	4.7%
d	1485	4.3%
u	1445	4.2%
Other values (22)	10360	30.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	25430	74.4%
Uppercase Letter	5867	17.2%
Space Separator	2901	8.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4245	16.7%
n	3666	14.4%
r	2563	10.1%
t	2364	9.3%
y	1710	6.7%
a	1620	6.4%
d	1485	5.8%
u	1445	5.7%
o	1260	5.0%
h	1100	4.3%
Other values (10)	3972	15.6%

Uppercase Letter

Value	Count	Frequency (%)
S	1839	31.3%
N	1254	21.4%
W	995	17.0%
E	531	9.1%
H	377	6.4%
M	372	6.3%
C	235	4.0%
B	119	2.0%
I	118	2.0%
F	26	0.4%

Space Separator

Value	Count	Frequency (%)
	2901	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	31297	91.5%
Common	2901	8.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4245	13.6%
n	3666	11.7%
r	2563	8.2%
t	2364	7.6%
S	1839	5.9%
y	1710	5.5%
a	1620	5.2%
d	1485	4.7%
u	1445	4.6%
o	1260	4.0%
Other values (21)	9100	29.1%

Common

Value	Count	Frequency (%)
	2901	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	34198	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	4245	12.4%
n	3666	10.7%
	2901	8.5%
r	2563	7.5%
t	2364	6.9%
S	1839	5.4%
y	1710	5.0%
a	1620	4.7%
d	1485	4.3%
u	1445	4.2%
Other values (22)	10360	30.3%

AECG_region
Categorical

HIGH CORRELATION MISSING

Distinct	20
Distinct (%)	0.9%
Missing	24
Missing (%)	1.1%
Memory size	17.4 KiB

Metropolitan West	249
Metropolitan East	228
Metropolitan South West	222
Hunter	212
Upper South Coast	180
Other values (15)	1101

Length

Max length	23
Median length	18
Mean length	14.739507
Min length	6

Characters and Unicode

Total characters	32309
Distinct characters	30
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Metropolitan East
2nd row	Hunter
3rd row	Hunter
4th row	Lower South Coast
5th row	Hunter

Common Values

Value	Count	Frequency (%)
Metropolitan West	249	11.2%
Metropolitan East	228	10.3%
Metropolitan South West	222	10.0%
Hunter	212	9.6%
Upper South Coast	180	8.1%
Metropolitan North	174	7.9%
Upper North Coast	138	6.2%
Riverina 1	136	6.1%
Western 1	125	5.6%
North Western 2	79	3.6%
Other values (10)	449	20.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
metropolitan	873	17.9%
north	543	11.1%
coast	513	10.5%
west	471	9.7%
south	441	9.0%
1	335	6.9%
upper	318	6.5%
western	311	6.4%
east	228	4.7%
hunter	212	4.4%
Other values (7)	628	12.9%

Most occurring characters

Value	Count	Frequency (%)
t	4543	14.1%
o	3360	10.4%
e	2865	8.9%
r	2687	8.3%
	2681	8.3%
a	2097	6.5%
n	1792	5.5%
s	1523	4.7%
p	1509	4.7%
i	1269	3.9%
Other values (20)	7983	24.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	24755	76.6%
Uppercase Letter	4388	13.6%
Space Separator	2681	8.3%
Decimal Number	485	1.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	4543	18.4%
o	3360	13.6%
e	2865	11.6%
r	2687	10.9%
a	2097	8.5%
n	1792	7.2%
s	1523	6.2%
p	1509	6.1%
i	1269	5.1%
h	1045	4.2%
Other values (5)	2065	8.3%

Uppercase Letter

Value	Count	Frequency (%)
M	921	21.0%
W	782	17.8%
C	591	13.5%
N	543	12.4%
S	441	10.1%
U	318	7.2%
E	228	5.2%
H	212	4.8%
R	174	4.0%
L	117	2.7%

Decimal Number

Value	Count	Frequency (%)
1	335	69.1%
2	124	25.6%
3	26	5.4%

Space Separator

Value	Count	Frequency (%)
	2681	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	29143	90.2%
Common	3166	9.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	4543	15.6%
o	3360	11.5%
e	2865	9.8%
r	2687	9.2%
a	2097	7.2%
n	1792	6.1%
s	1523	5.2%
p	1509	5.2%
i	1269	4.4%
h	1045	3.6%
Other values (16)	6453	22.1%

Common

Value	Count	Frequency (%)
	2681	84.7%
1	335	10.6%
2	124	3.9%
3	26	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	32309	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	4543	14.1%
o	3360	10.4%
e	2865	8.9%
r	2687	8.3%
	2681	8.3%
a	2097	6.5%
n	1792	5.5%
s	1523	4.7%
p	1509	4.7%
i	1269	3.9%
Other values (20)	7983	24.7%

ASGS_remoteness
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	17.4 KiB

Major Cities of Australia	1241
Inner Regional Australia	582
Outer Regional Australia	341
Remote Australia	38
Very Remote Australia	12

Length

Max length	25
Median length	25
Mean length	24.394856
Min length	11

Characters and Unicode

Total characters	54059
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Major Cities of Australia
2nd row	Inner Regional Australia
3rd row	Major Cities of Australia
4th row	Outer Regional Australia
5th row	Major Cities of Australia

Common Values

Value	Count	Frequency (%)
Major Cities of Australia	1241	56.0%
Inner Regional Australia	582	26.3%
Outer Regional Australia	341	15.4%
Remote Australia	38	1.7%
Very Remote Australia	12	0.5%
Not Defined	2	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
australia	2214	28.2%
major	1241	15.8%
cities	1241	15.8%
of	1241	15.8%
regional	923	11.8%
inner	582	7.4%
outer	341	4.3%
remote	50	0.6%
very	12	0.2%
not	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
a	6592	12.2%
	5633	10.4%
i	5621	10.4%
r	4390	8.1%
t	3848	7.1%
o	3457	6.4%
s	3455	6.4%
e	3203	5.9%
l	3137	5.8%
u	2555	4.7%
Other values (16)	12168	22.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	41818	77.4%
Uppercase Letter	6608	12.2%
Space Separator	5633	10.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	6592	15.8%
i	5621	13.4%
r	4390	10.5%
t	3848	9.2%
o	3457	8.3%
s	3455	8.3%
e	3203	7.7%
l	3137	7.5%
u	2555	6.1%
n	2089	5.0%
Other values (6)	3471	8.3%

Uppercase Letter

Value	Count	Frequency (%)
A	2214	33.5%
M	1241	18.8%
C	1241	18.8%
R	973	14.7%
I	582	8.8%
O	341	5.2%
V	12	0.2%
N	2	< 0.1%
D	2	< 0.1%

Space Separator

Value	Count	Frequency (%)
	5633	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	48426	89.6%
Common	5633	10.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	6592	13.6%
i	5621	11.6%
r	4390	9.1%
t	3848	7.9%
o	3457	7.1%
s	3455	7.1%
e	3203	6.6%
l	3137	6.5%
u	2555	5.3%
A	2214	4.6%
Other values (15)	9954	20.6%

Common

Value	Count	Frequency (%)
	5633	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	54059	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	6592	12.2%
	5633	10.4%
i	5621	10.4%
r	4390	8.1%
t	3848	7.1%
o	3457	6.4%
s	3455	6.4%
e	3203	5.9%
l	3137	5.8%
u	2555	4.7%
Other values (16)	12168	22.5%

Latitude
Real number (ℝ)

HIGH CORRELATION

Distinct	2214
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-33.185415

Minimum	-37.084209
Maximum	-28.16951
Zeros	0
Zeros (%)	0.0%
Negative	2216
Negative (%)	100.0%
Memory size	17.4 KiB

Quantile statistics

Minimum	-37.084209
5-th percentile	-35.355771
Q1	-33.979356
median	-33.766117
Q3	-32.810491
95-th percentile	-28.928409
Maximum	-28.16951
Range	8.914699
Interquartile range (IQR)	1.1688652

Descriptive statistics

Standard deviation	1.7334563
Coefficient of variation (CV)	-0.052235486
Kurtosis	1.1177057
Mean	-33.185415
Median Absolute Deviation (MAD)	0.5007065
Skewness	1.1719333
Sum	-73538.879
Variance	3.0048706
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-32.908099	2	0.1%
-31.10651	2	0.1%
-29.691603	1	< 0.1%
-32.2525	1	< 0.1%
-33.870879	1	< 0.1%
-31.892305	1	< 0.1%
-33.924753	1	< 0.1%
-33.866464	1	< 0.1%
-32.606539	1	< 0.1%
-30.153584	1	< 0.1%
Other values (2204)	2204	99.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-37.084209	1	< 0.1%
-37.063271	1	< 0.1%
-37.055009	1	< 0.1%
-37.041739	1	< 0.1%
-36.92962	1	< 0.1%
-36.925482	1	< 0.1%
-36.918986	1	< 0.1%
-36.917647	1	< 0.1%
-36.886525	1	< 0.1%
-36.832664	1	< 0.1%

Value	Count	Frequency (%)
-28.16951	1	< 0.1%
-28.195346	1	< 0.1%
-28.195651	1	< 0.1%
-28.196814	1	< 0.1%
-28.207696	1	< 0.1%
-28.215457	1	< 0.1%
-28.215705	1	< 0.1%
-28.222422	1	< 0.1%
-28.223742	1	< 0.1%
-28.229959	1	< 0.1%

Longitude
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	2216
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	150.62069

Minimum	141.43997
Maximum	159.06903
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.4 KiB

Quantile statistics

Minimum	141.43997
5-th percentile	146.90061
Q1	150.58974
median	150.99211
Q3	151.31204
95-th percentile	153.11617
Maximum	159.06903
Range	17.629062
Interquartile range (IQR)	0.72229675

Descriptive statistics

Standard deviation	1.8374202
Coefficient of variation (CV)	0.012198989
Kurtosis	5.3435874
Mean	150.62069
Median Absolute Deviation (MAD)	0.358081
Skewness	-1.7938336
Sum	333775.46
Variance	3.376113
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
151.131206	1	< 0.1%
149.583789	1	< 0.1%
151.436848	1	< 0.1%
148.627132	1	< 0.1%
151.22024	1	< 0.1%
152.459892	1	< 0.1%
151.068761	1	< 0.1%
150.890898	1	< 0.1%
152.110359	1	< 0.1%
151.875219	1	< 0.1%
Other values (2206)	2206	99.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
141.43997	1	< 0.1%
141.441054	1	< 0.1%
141.456502	1	< 0.1%
141.456986	1	< 0.1%
141.460807	1	< 0.1%
141.462443	1	< 0.1%
141.471518	1	< 0.1%
141.472	1	< 0.1%
141.473022	1	< 0.1%
141.89493	1	< 0.1%

Value	Count	Frequency (%)
159.069032	1	< 0.1%
153.616057	1	< 0.1%
153.614826	1	< 0.1%
153.590695	1	< 0.1%
153.585664	1	< 0.1%
153.5846	1	< 0.1%
153.579497	1	< 0.1%
153.572189	1	< 0.1%
153.570474	1	< 0.1%
153.567798	1	< 0.1%

Assets unit
Categorical

HIGH CORRELATION MISSING

Distinct	8
Distinct (%)	0.4%
Missing	38
Missing (%)	1.7%
Memory size	17.4 KiB

Southern NSW	395
North Western NSW	304
Hunter/Central Coast	290
South Western Sydney	279
North Coast	263
Other values (3)	647

Length

Max length	20
Median length	15
Mean length	14.502296
Min length	6

Characters and Unicode

Total characters	31586
Distinct characters	19
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sydney
2nd row	Hunter/Central Coast
3rd row	Hunter/Central Coast
4th row	Southern NSW
5th row	Hunter/Central Coast

Common Values

Value	Count	Frequency (%)
Southern NSW	395	17.8%
North Western NSW	304	13.7%
Hunter/Central Coast	290	13.1%
South Western Sydney	279	12.6%
North Coast	263	11.9%
Western Sydney	248	11.2%
Sydney	228	10.3%
Northern Sydney	171	7.7%
(Missing)	38	1.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
sydney	926	19.7%
western	831	17.6%
nsw	699	14.8%
north	567	12.0%
coast	553	11.7%
southern	395	8.4%
hunter/central	290	6.2%
south	279	5.9%
northern	171	3.6%

Most occurring characters

Value	Count	Frequency (%)
e	3734	11.8%
t	3376	10.7%
n	2903	9.2%
r	2715	8.6%
	2533	8.0%
S	2299	7.3%
o	1965	6.2%
y	1852	5.9%
W	1530	4.8%
N	1437	4.5%
Other values (9)	7242	22.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	22364	70.8%
Uppercase Letter	6399	20.3%
Space Separator	2533	8.0%
Other Punctuation	290	0.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	3734	16.7%
t	3376	15.1%
n	2903	13.0%
r	2715	12.1%
o	1965	8.8%
y	1852	8.3%
h	1412	6.3%
s	1384	6.2%
u	964	4.3%
d	926	4.1%
Other values (2)	1133	5.1%

Uppercase Letter

Value	Count	Frequency (%)
S	2299	35.9%
W	1530	23.9%
N	1437	22.5%
C	843	13.2%
H	290	4.5%

Space Separator

Value	Count	Frequency (%)
	2533	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	290	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	28763	91.1%
Common	2823	8.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	3734	13.0%
t	3376	11.7%
n	2903	10.1%
r	2715	9.4%
S	2299	8.0%
o	1965	6.8%
y	1852	6.4%
W	1530	5.3%
N	1437	5.0%
h	1412	4.9%
Other values (7)	5540	19.3%

Common

Value	Count	Frequency (%)
	2533	89.7%
/	290	10.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	31586	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	3734	11.8%
t	3376	10.7%
n	2903	9.2%
r	2715	8.6%
	2533	8.0%
S	2299	7.3%
o	1965	6.2%
y	1852	5.9%
W	1530	4.8%
N	1437	4.5%
Other values (9)	7242	22.9%

SA4
Categorical

HIGH CORRELATION

Distinct	28
Distinct (%)	1.3%
Missing	1
Missing (%)	< 0.1%
Memory size	17.4 KiB

New England and North West	121
Newcastle and Lake Macquarie	119
Central West	111
Sydney - Inner South West	111
Richmond - Tweed	111
Other values (23)	1642

Length

Max length	38
Median length	25
Mean length	20.767946
Min length	6

Characters and Unicode

Total characters	46001
Distinct characters	43
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sydney - Inner West
2nd row	Hunter Valley exc Newcastle
3rd row	Hunter Valley exc Newcastle
4th row	Capital Region
5th row	Newcastle and Lake Macquarie

Common Values

Value	Count	Frequency (%)
New England and North West	121	5.5%
Newcastle and Lake Macquarie	119	5.4%
Central West	111	5.0%
Sydney - Inner South West	111	5.0%
Richmond - Tweed	111	5.0%
Capital Region	104	4.7%
Hunter Valley exc Newcastle	96	4.3%
Riverina	94	4.2%
Sydney - Outer West and Blue Mountains	91	4.1%
Sydney - South West	90	4.1%
Other values (18)	1167	52.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	1121	14.0%
sydney	1017	12.7%
west	737	9.2%
and	635	7.9%
south	334	4.2%
north	278	3.5%
newcastle	215	2.7%
inner	210	2.6%
central	188	2.3%
outer	175	2.2%
Other values (39)	3092	38.6%

Most occurring characters

Value	Count	Frequency (%)
	5787	12.6%
e	4341	9.4%
a	3757	8.2%
n	3671	8.0%
t	2942	6.4%
y	2408	5.2%
r	2388	5.2%
d	2228	4.8%
s	1617	3.5%
o	1566	3.4%
Other values (33)	15296	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	32943	71.6%
Uppercase Letter	6150	13.4%
Space Separator	5787	12.6%
Dash Punctuation	1121	2.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4341	13.2%
a	3757	11.4%
n	3671	11.1%
t	2942	8.9%
y	2408	7.3%
r	2388	7.2%
d	2228	6.8%
s	1617	4.9%
o	1566	4.8%
l	1504	4.6%
Other values (14)	6521	19.8%

Uppercase Letter

Value	Count	Frequency (%)
S	1544	25.1%
W	737	12.0%
N	661	10.7%
C	568	9.2%
H	392	6.4%
M	366	6.0%
R	343	5.6%
I	298	4.8%
B	279	4.5%
O	254	4.1%
Other values (7)	708	11.5%

Space Separator

Value	Count	Frequency (%)
	5787	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1121	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	39093	85.0%
Common	6908	15.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4341	11.1%
a	3757	9.6%
n	3671	9.4%
t	2942	7.5%
y	2408	6.2%
r	2388	6.1%
d	2228	5.7%
s	1617	4.1%
o	1566	4.0%
S	1544	3.9%
Other values (31)	12631	32.3%

Common

Value	Count	Frequency (%)
	5787	83.8%
-	1121	16.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	46001	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	5787	12.6%
e	4341	9.4%
a	3757	8.2%
n	3671	8.0%
t	2942	6.4%
y	2408	5.2%
r	2388	5.2%
d	2228	4.8%
s	1617	3.5%
o	1566	3.4%
Other values (33)	15296	33.3%

Date_extracted
Date

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.4 KiB

Minimum	2023-08-18 00:00:00
Maximum	2023-08-18 00:00:00

Histogram

Histogram with fixed size bins (bins=1)

Auto

Heatmap
Table

	School_code	AgeID	Postcode	latest_year_enrolment_FTE	ICSEA_value	Latitude	Longitude	Level_of_schooling	Selective_school	Opportunity_class	School_specialty_type	School_subtype	Preschool_ind	Distance_education	Intensive_english_centre	School_gender	Late_opening_school	Fed_electorate	Operational_directorate	Operational_directorate_office	Operational_directorate_office_phone	Operational_directorate_office_address	FACS_district	Local_health_district	AECG_region	ASGS_remoteness	Assets unit	SA4
School_code	1.000	0.015	-0.136	0.466	0.020	-0.110	0.016	0.554	0.207	0.089	0.117	0.458	0.111	0.045	0.174	0.194	0.080	0.159	0.132	0.152	0.154	0.153	0.123	0.122	0.127	0.165	0.137	0.154
AgeID	0.015	1.000	0.501	-0.248	-0.217	-0.039	-0.292	0.337	0.099	0.000	0.312	0.470	0.065	0.125	0.128	0.089	0.087	0.175	0.117	0.144	0.147	0.149	0.131	0.145	0.122	0.139	0.124	0.163
Postcode	-0.136	0.501	1.000	-0.333	-0.468	-0.007	-0.570	0.066	0.075	0.046	0.000	0.058	0.072	0.000	0.092	0.133	0.236	0.692	0.548	0.685	0.689	0.688	0.615	0.687	0.688	0.280	0.619	0.714
latest_year_enrolment_FTE	0.466	-0.248	-0.333	1.000	0.355	-0.146	0.132	0.321	0.273	0.150	0.122	0.212	0.088	0.000	0.203	0.136	0.190	0.197	0.162	0.154	0.151	0.152	0.169	0.157	0.152	0.245	0.176	0.180
ICSEA_value	0.020	-0.217	-0.468	0.355	1.000	-0.210	0.234	0.128	0.321	0.130	0.000	0.109	0.134	0.000	0.000	0.069	0.367	0.351	0.283	0.306	0.316	0.315	0.288	0.275	0.294	0.324	0.309	0.320
Latitude	-0.110	-0.039	-0.007	-0.146	-0.210	1.000	0.542	0.058	0.026	0.029	0.034	0.032	0.050	0.026	0.039	0.076	0.317	0.675	0.523	0.770	0.783	0.783	0.533	0.594	0.709	0.395	0.587	0.698
Longitude	0.016	-0.292	-0.570	0.132	0.234	0.542	1.000	0.094	0.021	0.042	0.000	0.061	0.073	0.033	0.025	0.044	0.619	0.623	0.426	0.737	0.742	0.741	0.498	0.669	0.713	0.415	0.483	0.605
Level_of_schooling	0.554	0.337	0.066	0.321	0.128	0.058	0.094	1.000	0.209	0.096	0.185	0.955	0.156	0.079	0.173	0.204	0.238	0.115	0.106	0.122	0.128	0.127	0.303	0.303	0.093	0.151	0.100	0.116
Selective_school	0.207	0.099	0.075	0.273	0.321	0.026	0.021	0.209	1.000	0.008	0.321	0.207	0.012	0.000	0.028	0.208	0.018	0.127	0.076	0.073	0.067	0.071	0.062	0.078	0.039	0.048	0.076	0.087
Opportunity_class	0.089	0.000	0.046	0.150	0.130	0.029	0.042	0.096	0.008	1.000	0.087	0.065	0.000	0.000	0.000	0.000	0.000	0.009	0.068	0.000	0.000	0.000	0.058	0.043	0.034	0.068	0.072	0.000
School_specialty_type	0.117	0.312	0.000	0.122	0.000	0.034	0.000	0.185	0.321	0.087	1.000	0.465	0.000	0.410	0.254	0.109	0.000	0.072	0.086	0.000	0.000	0.000	0.141	0.102	0.000	0.000	0.037	0.041
School_subtype	0.458	0.470	0.058	0.212	0.109	0.032	0.061	0.955	0.207	0.065	0.465	1.000	0.157	0.055	0.312	0.231	0.240	0.100	0.136	0.063	0.067	0.067	0.082	0.056	0.043	0.138	0.098	0.078
Preschool_ind	0.111	0.065	0.072	0.088	0.134	0.050	0.073	0.156	0.012	0.000	0.000	0.157	1.000	0.045	0.000	0.012	0.033	0.205	0.134	0.142	0.152	0.151	0.081	0.138	0.145	0.108	0.121	0.188
Distance_education	0.045	0.125	0.000	0.000	0.000	0.026	0.033	0.079	0.000	0.000	0.410	0.055	0.045	1.000	0.000	0.000	0.038	0.075	0.000	0.064	0.062	0.060	0.000	0.051	0.080	0.000	0.048	0.100
Intensive_english_centre	0.174	0.128	0.092	0.203	0.000	0.039	0.025	0.173	0.028	0.000	0.254	0.312	0.000	0.000	1.000	0.031	0.000	0.098	0.082	0.011	0.000	0.000	0.073	0.051	0.086	0.045	0.100	0.098
School_gender	0.194	0.089	0.133	0.136	0.069	0.076	0.044	0.204	0.208	0.000	0.109	0.231	0.012	0.000	0.031	1.000	0.018	0.159	0.134	0.139	0.138	0.137	0.122	0.110	0.105	0.070	0.118	0.164
Late_opening_school	0.080	0.087	0.236	0.190	0.367	0.317	0.619	0.238	0.018	0.000	0.000	0.240	0.033	0.038	0.000	0.018	1.000	0.711	0.413	0.692	0.709	0.709	0.388	0.544	0.792	0.695	0.454	0.597
Fed_electorate	0.159	0.175	0.692	0.197	0.351	0.675	0.623	0.115	0.127	0.009	0.072	0.100	0.205	0.075	0.098	0.159	0.711	1.000	0.771	0.674	0.668	0.666	0.847	0.832	0.769	0.504	0.929	0.820
Operational_directorate	0.132	0.117	0.548	0.162	0.283	0.523	0.426	0.106	0.076	0.068	0.086	0.136	0.134	0.000	0.082	0.134	0.413	0.771	1.000	0.890	0.918	0.918	0.602	0.657	0.707	0.398	0.649	0.748
Operational_directorate_office	0.152	0.144	0.685	0.154	0.306	0.770	0.737	0.122	0.073	0.000	0.000	0.063	0.142	0.064	0.011	0.139	0.692	0.674	0.890	1.000	0.985	1.000	0.839	0.809	0.790	0.480	0.910	0.748
Operational_directorate_office_phone	0.154	0.147	0.689	0.151	0.316	0.783	0.742	0.128	0.067	0.000	0.000	0.067	0.152	0.062	0.000	0.138	0.709	0.668	0.918	0.985	1.000	1.000	0.838	0.811	0.798	0.485	0.910	0.746
Operational_directorate_office_address	0.153	0.149	0.688	0.152	0.315	0.783	0.741	0.127	0.071	0.000	0.000	0.067	0.151	0.060	0.000	0.137	0.709	0.666	0.918	1.000	1.000	1.000	0.843	0.815	0.800	0.485	0.913	0.751
FACS_district	0.123	0.131	0.615	0.169	0.288	0.533	0.498	0.303	0.062	0.058	0.141	0.082	0.081	0.000	0.073	0.122	0.388	0.847	0.602	0.839	0.838	0.843	1.000	0.998	0.858	0.400	0.762	0.933
Local_health_district	0.122	0.145	0.687	0.157	0.275	0.594	0.669	0.303	0.078	0.043	0.102	0.056	0.138	0.051	0.051	0.110	0.544	0.832	0.657	0.809	0.811	0.815	0.998	1.000	0.813	0.470	0.889	0.876
AECG_region	0.127	0.122	0.688	0.152	0.294	0.709	0.713	0.093	0.039	0.034	0.000	0.043	0.145	0.080	0.086	0.105	0.792	0.769	0.707	0.790	0.798	0.800	0.858	0.813	1.000	0.621	0.989	0.766
ASGS_remoteness	0.165	0.139	0.280	0.245	0.324	0.395	0.415	0.151	0.048	0.068	0.000	0.138	0.108	0.000	0.045	0.070	0.695	0.504	0.398	0.480	0.485	0.485	0.400	0.470	0.621	1.000	0.454	0.502
Assets unit	0.137	0.124	0.619	0.176	0.309	0.587	0.483	0.100	0.076	0.072	0.037	0.098	0.121	0.048	0.100	0.118	0.454	0.929	0.649	0.910	0.910	0.913	0.762	0.889	0.989	0.454	1.000	0.939
SA4	0.154	0.163	0.714	0.180	0.320	0.698	0.605	0.116	0.087	0.000	0.041	0.078	0.188	0.100	0.098	0.164	0.597	0.820	0.748	0.748	0.746	0.751	0.933	0.876	0.766	0.502	0.939	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	School_code	AgeID	School_name	Street	Town_suburb	Postcode	Phone	School_Email	Website	Fax	latest_year_enrolment_FTE	Indigenous_pct	LBOTE_pct	ICSEA_value	Level_of_schooling	Selective_school	Opportunity_class	School_specialty_type	School_subtype	Support_classes	Preschool_ind	Distance_education	Intensive_english_centre	School_gender	Late_opening_school	Date_1st_teacher	LGA	electorate_from_2023	electorate_2015_2022	Fed_electorate	Operational_directorate	Principal_network	Operational_directorate_office	Operational_directorate_office_phone	Operational_directorate_office_address	FACS_district	Local_health_district	AECG_region	ASGS_remoteness	Latitude	Longitude	Assets unit	SA4	Date_extracted
0	1001	44402.0	Abbotsford Public School	350 Great North Rd	Abbotsford	2046.0	9713 6220	abbotsford-p.school@det.nsw.edu.au	https://abbotsford-p.schools.nsw.gov.au	9712 1825	474.0	2.0	41.0	1111.0	Primary School	Not Selective	N	Comprehensive	Kinder to Year 6	NaN	N	N	N	Coed	N	1925-04-01	Canada Bay (A)	Drummoyne	Drummoyne	Reid	Metropolitan South	Iron Cove	St Peters	9582 5800	Church St, St Peters 2044	South Eastern Sydney, Northern Sydney & Sydney	Sydney	Metropolitan East	Major Cities of Australia	-33.852728	151.131206	Sydney	Sydney - Inner West	2023-08-18
1	1002	49333.0	Aberdeen Public School	Segenhoe St	Aberdeen	2336.0	6543 7271	aberdeen-p.school@det.nsw.edu.au	https://aberdeen-p.schools.nsw.gov.au	6543 7712	166.0	22.0	np	895.0	Primary School	Not Selective	N	Comprehensive	Kinder to Year 6	NaN	N	N	N	Coed	N	1864-02-01	Upper Hunter Shire (A)	Upper Hunter	Upper Hunter	New England	Regional North and West	Upper Hunter	Maitland	4931 3500	Level 1, 2 Caroline Pl, Maitland 2320	Hunter New England & Central Coast	Hunter New England	Hunter	Inner Regional Australia	-32.166098	150.888095	Hunter/Central Coast	Hunter Valley exc Newcastle	2023-08-18
2	1003	49299.0	Abermain Public School	Goulburn St	Abermain	2326.0	4930 4210	abermain-p.school@det.nsw.edu.au	https://abermain-p.schools.nsw.gov.au	4930 4319	265.0	26.0	np	893.0	Primary School	Not Selective	N	Comprehensive	Kinder to Year 6	NaN	N	N	N	Coed	N	1905-08-01	Cessnock (C)	Cessnock	Cessnock	Paterson	Regional North	Cessnock	Maitland	4931 3500	Level 1, 2 Caroline Pl, Maitland 2320	Hunter New England & Central Coast	Hunter New England	Hunter	Major Cities of Australia	-32.808920	151.426499	Hunter/Central Coast	Hunter Valley exc Newcastle	2023-08-18
3	1007	50425.0	Adaminaby Public School	9 Cosgrove Street	ADAMINABY	2629.0	6454 2265	adaminaby-p.school@det.nsw.edu.au	https://adaminaby-p.schools.nsw.gov.au	6454 2552	12.0	0.0	np	976.0	Primary School	Not Selective	N	Comprehensive	Kinder to Year 6	NaN	N	N	N	Coed	N	1869-01-01	Snowy Monaro Regional (A)	Monaro	Monaro	Eden-Monaro	Rural South and West	Eden-Monaro	Queanbeyan	02 6200 5000	Level 1, City Link Plaza, 24-36 Morisset St, Queanbeyan 2620	Illawarra Shoalhaven & Southern NSW	Southern NSW	Lower South Coast	Outer Regional Australia	-35.993292	148.776721	Southern NSW	Capital Region	2023-08-18
4	1008	49043.0	Adamstown Public School	Bryant St	Adamstown	2289.0	4957 1114	adamstown-p.school@det.nsw.edu.au	https://adamstown-p.schools.nsw.gov.au	4956 2446	361.0	8.0	14.0	1060.0	Primary School	Not Selective	N	Comprehensive	Kinder to Year 6	NaN	N	N	N	Coed	N	1877-07-01	Newcastle (C)	Newcastle	Newcastle	Newcastle	Regional North	Glenrock	Gateshead West	4088 3518	40-44 Coral Cr, Gateshead West 2290	Hunter New England & Central Coast	Hunter New England	Hunter	Major Cities of Australia	-32.932213	151.730971	Hunter/Central Coast	Newcastle and Lake Macquarie	2023-08-18
5	1009	50667.0	Adelong Public School	50 Gilmore Street	ADELONG	2729.0	6946 2053	adelong-p.school@det.nsw.edu.au	https://adelong-p.schools.nsw.gov.au	6946 2199	47.0	np	np	962.0	Primary School	Not Selective	N	Comprehensive	Kinder to Year 6	NaN	N	N	N	Coed	N	1860-03-01	Snowy Valleys (A)	Wagga Wagga	Wagga Wagga	Eden-Monaro	Rural South and West	Gundagai	Wagga Wagga	02 6937 3800	Level 4, 76 Morgan St, Wagga Wagga 2650	Murrumbidgee, Far West & Western NSW	Murrumbidgee	Riverina 1	Inner Regional Australia	-35.312333	148.062802	Southern NSW	Riverina	2023-08-18
6	1015	50020.0	Albion Park Public School	Tongarra & Hamilton Rds	Albion Park	2527.0	4256 1244	albionpk-p.school@det.nsw.edu.au	https://albionpk-p.schools.nsw.gov.au	4256 4160	467.0	9.0	7.0	968.0	Primary School	Not Selective	N	Comprehensive	Kinder to Year 6	NaN	N	N	N	Coed	N	1872-07-01	Shellharbour (C)	Kiama	Kiama	Whitlam	Regional South	Lake Illawarra South	Warilla	4267 6100	30 Oldfield St, Warilla 2528	Illawarra Shoalhaven & Southern NSW	Illawarra Shoalhaven	Upper South Coast	Major Cities of Australia	-34.570257	150.772620	Southern NSW	Illawarra	2023-08-18
7	1016	49357.0	Timbumburi Public School	542 Kia Ora Lane	Timbumburi	2340.0	6767 0232	timbumburi-p.school@det.nsw.edu.au	https://timbumburi-p.schools.nsw.gov.au	6767 0245	154.0	10.0	np	1012.0	Primary School	Not Selective	N	Comprehensive	Kinder to Year 6	NaN	N	N	N	Coed	N	1911-02-01	Tamworth Regional (A)	Tamworth	Tamworth	New England	Rural North	Peel	Tamworth	6755 5000	Level 3, Noel Park House, 155-157 Marius St, Tamworth 2340	Hunter New England & Central Coast	Hunter New England	North Western 2	Outer Regional Australia	-31.203781	150.915629	North Western NSW	New England and North West	2023-08-18
8	1017	50441.0	Albury Public School	481 David St	Albury	2640.0	02 6021 3849	albury-p.school@det.nsw.edu.au	https://albury-p.schools.nsw.gov.au	02 6041 1265	607.0	5.0	10.0	1053.0	Primary School	Not Selective	N	Comprehensive	Kinder to Year 6	NaN	N	N	N	Coed	N	1850-07-01	Albury (C)	Albury	Albury	Farrer	Rural South and West	Albury	Albury	02 6051 4300	521 Macauley St, Albury 2640	Murrumbidgee, Far West & Western NSW	Murrumbidgee	Riverina 1	Inner Regional Australia	-36.082454	146.919253	Southern NSW	Murray	2023-08-18
9	1019	50442.0	Albury West Public School	Mott St	Albury	2640.0	6021 2288	alburywest-p.school@det.nsw.edu.au	https://alburywest-p.schools.nsw.gov.au	6041 3783	166.0	23.0	8.0	906.0	Primary School	Not Selective	N	Comprehensive	Kinder to Year 6	NaN	N	N	N	Coed	N	1936-01-01	Albury (C)	Albury	Albury	Farrer	Rural South and West	Albury	Albury	02 6051 4300	521 Macauley St, Albury 2640	Murrumbidgee, Far West & Western NSW	Murrumbidgee	Riverina 1	Inner Regional Australia	-36.077830	146.895548	Southern NSW	Murray	2023-08-18

	School_code	AgeID	School_name	Street	Town_suburb	Postcode	Phone	School_Email	Website	Fax	latest_year_enrolment_FTE	Indigenous_pct	LBOTE_pct	ICSEA_value	Level_of_schooling	Selective_school	Opportunity_class	School_specialty_type	School_subtype	Support_classes	Preschool_ind	Distance_education	Intensive_english_centre	School_gender	Late_opening_school	Date_1st_teacher	LGA	electorate_from_2023	electorate_2015_2022	Fed_electorate	Operational_directorate	Principal_network	Operational_directorate_office	Operational_directorate_office_phone	Operational_directorate_office_address	FACS_district	Local_health_district	AECG_region	ASGS_remoteness	Latitude	Longitude	Assets unit	SA4	Date_extracted
2206	8911	70233.0	The Ponds High School	180 Riverbank Drive	The Ponds	2769.0	9626 3562	theponds-h.school@det.nsw.edu.au	https://theponds-h.schools.nsw.gov.au	9837 0823	1948.0	1.0	68.0	1093.0	Secondary School	Not Selective	N	Comprehensive	Year 7 to Year 12	NaN	N	N	N	Coed	N	2015-01-27	Blacktown (C)	Riverstone	Riverstone	Greenway	Metropolitan North	The Ponds	Nirimba	9208 7611	Building T3C, Nirimba Education Precinct, Eastern Rd, Quakers Hill 2763	Western Sydney & Nepean Blue Mountains	Western Sydney	Metropolitan West	Major Cities of Australia	-33.705259	150.906931	Western Sydney	Sydney - Blacktown	2023-08-18
2207	8912	70235.0	Aurora College	100 Eton Road	LINDFIELD	2070.0	1300 287 629	auroracoll-h.school@det.nsw.edu.au	http://www.aurora.nsw.edu.au	02 0000 0000	NaN	NaN	NaN	NaN	Secondary School	Partially Selective	Y	Other	Year 7 to Year 12	NaN	N	N	N	Coed	N	2015-01-27	Ku-ring-gai (A)	Davidson	Davidson	Bradfield	Metropolitan North	Hornsby	MacPark	9886 7000	Level 2, 75 Talavera Rd, Macquarie Park 2113	South Eastern Sydney, Northern Sydney & Sydney	Sydney	Metropolitan North	Major Cities of Australia	-33.789700	151.160700	Northern Sydney	Sydney - North Sydney and Hornsby	2023-08-18
2208	8913	86429.0	Inner Sydney High School	Cnr Cleveland St & Chalmers St	Surry Hills	2010.0	9578 2020	innersydney-h.school@det.nsw.edu.au	https://innersydneyhighschool.schools.nsw.gov.au	NaN	591.0	3.0	43.0	1113.0	Secondary School	Not Selective	N	Comprehensive	Year 7 to Year 12	NaN	N	N	N	Coed	N	2020-01-28	Sydney (C)	Sydney	Newtown	Sydney	Metropolitan South	Port Jackson	St Peters	9582 5800	Church St, St Peters 2044	South Western Sydney	South Western Sydney	NaN	Major Cities of Australia	-33.889372	151.206030	NaN	Sydney - City and Inner South	2023-08-18
2209	8914	NaN	Centre of Excellence in Agricultural Education	WSU Hawkesbury Campus	Richmond	2753.0	0400 718 234	NaN	https://richmondagcollege-h.schools.nsw.gov.au	NaN	NaN	NaN	NaN	NaN	Secondary School	Not Selective	N	Agricultural	Year 7 to Year 12	NaN	N	N	N	Coed	N	NaT	Hawkesbury (C)	Hawkesbury	Hawkesbury	Macquarie	Regional North	Hawkesbury	Nirimba	9208 7611	Building T3C, Nirimba Education Precinct, Eastern Rd, Quakers Hill 2763	Western Sydney & Nepean Blue Mountains	Nepean Blue Mountains	NaN	Major Cities of Australia	-33.614026	150.753568	NaN	Sydney - Outer West and Blue Mountains	2023-08-18
2210	8915	46436.0	Armidale Secondary College	182 Butler Street	Armidale	2350.0	02 6776 7400	armidale-s.school@det.nsw.edu.au	https://armidale-s.schools.nsw.gov.au	NaN	1123.0	18.0	22.0	961.0	Secondary School	Partially Selective	N	Comprehensive	Year 7 to Year 12	NaN	N	N	Y	Coed	N	2019-01-29	Armidale Regional (A)	Northern Tablelands	Northern Tablelands	New England	Rural North	Armidale	Armidale	6776 4100	Suites 2 & 3, North Power Building, 175 Rusden St Armidale	Hunter New England & Central Coast	Hunter New England	North Western 2	Inner Regional Australia	-30.519371	151.650348	NaN	New England and North West	2023-08-18
2211	8916	86431.0	Oran Park High School	1 Podium Way	ORAN PARK	2570.0	4634 7700	oranpark-h.school@det.nsw.edu.au	https://oranpark-h.schools.nsw.gov.au	NaN	895.0	6.0	52.0	995.0	Secondary School	Not Selective	N	Comprehensive	Year 7 to Year 12	NaN	N	N	N	Coed	N	2020-01-28	Camden (A)	Badgerys Creek	Camden	Macarthur	Regional South	Macarthur	Glenfield	9203 9900	Roy Watts Rd, Glenfield 2167	South Western Sydney	South Western Sydney	NaN	Major Cities of Australia	-33.998988	150.736305	NaN	Sydney - South West	2023-08-18
2212	8917	50547.0	Murrumbidgee Regional High School	1-39 Poole Street	Griffith	2680.0	02 6969 9300	murrumbidgee-h.school@det.nsw.edu.au	https://murrumbidgee-h.schools.nsw.gov.au	NaN	1045.0	16.0	27.0	918.0	Secondary School	Not Selective	N	Comprehensive	Year 7 to Year 12	NaN	N	N	N	Coed	N	2019-01-29	Griffith (C)	Murray	Murray	Farrer	Rural South and West	Griffith	Griffith	02 6961 8100	Government Offices, 104-110 Banna Ave, Griffith 2680	Murrumbidgee, Far West & Western NSW	Murrumbidgee	Riverina 1	Outer Regional Australia	-34.282315	146.070718	NaN	Riverina	2023-08-18
2213	8919	88427.0	Bungendore High School	Cnr Majara Street & Kings Hwy	Bungendore	2621.0	NaN	bungendore-h.school@det.nsw.edu.au	https://bungendore-h.schools.nsw.gov.au/	NaN	NaN	NaN	NaN	NaN	Secondary School	Not Selective	N	Comprehensive	Year 7 to Year 12	NaN	N	N	N	Coed	N	2023-01-27	Queanbeyan-Palerang Regional (A)	Monaro	NaN	NaN	Rural South and West	Queanbeyan	Queanbeyan	02 6200 5000	Level 1, City Link Plaza, 24-36 Morisset St, Queanbeyan 2620	NaN	NaN	NaN	Inner Regional Australia	-35.253603	149.445707	NaN	Capital Region	2023-08-18
2214	8922	88435.0	Jerrabomberra High School	Coachwood Ave	Jerrabomberra	2619.0	NaN	jerra-h.school@det.nsw.edu.au	https://jerra-h.schools.nsw.gov.au/	NaN	NaN	NaN	NaN	NaN	Secondary School	Not Selective	N	Comprehensive	Year 7 to Year 12	NaN	N	N	N	Coed	N	2023-01-27	Queanbeyan-Palerang Regional (A)	Monaro	NaN	NaN	Rural South and West	Queanbeyan	Queanbeyan	02 6200 5000	Level 1, City Link Plaza, 24-36 Morisset St, Queanbeyan 2620	NaN	NaN	NaN	Major Cities of Australia	-35.388310	149.193594	NaN	Capital Region	2023-08-18
2215	8924	88561.0	Jindabyne High School	8/20 Park Rd	Jindabyne	2627.0	6456 2346	jindabyne-h.school@det.nsw.edu.au	Not currently available	NaN	NaN	NaN	NaN	NaN	Secondary School	Not Selective	N	Comprehensive	Year 7 to Year 12	NaN	N	N	N	Coed	N	2023-07-17	_No Mapping_	Monaro	Monaro	Eden-Monaro	Rural South and West	Eden-Monaro	Queanbeyan	02 6200 5000	Level 1, City Link Plaza, 24-36 Morisset St, Queanbeyan 2620	NaN	NaN	NaN	Not Defined	-36.416671	148.619318	NaN	Capital Region	2023-08-18

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Dash Punctuation

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Space Separator

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category